Creator ยท JoelLewis
Last updated ยท Sep 4, 2026
Generate end-to-end investment proposals covering risk profiling, model portfolio recommendation, fee illustration, projections, and compliance review. Use when the user asks about creating a proposal for a prospect, mapping risk questionnaire scores to model portfolios, building
Creator ยท JoelLewis
Last updated ยท Sep 4, 2026
Generate end-to-end investment proposals covering risk profiling, model portfolio recommendation, fee illustration, projections, and compliance review. Use when the user asks about creating a proposal for a prospect, mapping risk questionnaire scores to model portfolios, building
Creator ยท JoelLewis
Last updated ยท Sep 4, 2026
Generate end-to-end investment proposals covering risk profiling, model portfolio recommendation, fee illustration, projections, and compliance review. Use when the user asks about creating a proposal for a prospect, mapping risk questionnaire scores to model portfolios, building
Creator ยท JoelLewis
Last updated ยท Sep 4, 2026
Generate end-to-end investment proposals covering risk profiling, model portfolio recommendation, fee illustration, projections, and compliance review. Use when the user asks about creating a proposal for a prospect, mapping risk questionnaire scores to model portfolios, building
Sandbox only
Install targets
Codex install prompt
Install the "proposal-generation" agent skill from https://github.com/JoelLewis/finance_skills/tree/main/plugins/advisory-practice/skills/proposal-generation. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Generate end-to-end investment proposals covering risk profiling, model portfolio recommendation, fee illustration, projections, and compliance review. Use when the user asks about creating a proposal for a prospect, mapping risk questionnaire scores to model portfolios, building fee illustrations with tiered costs, producing Monte Carlo or scenario projections, analyzing a prospect's current portfolio for improvement opportunities, reviewing proposals for SEC Marketing Rule compliance, or designing proposal templates for a multi-advisor firm. Also trigger when users mention 'investment proposal', 'proposal generation', 'risk profiling', 'Riskalyze', 'Nitrogen', 'fee illustration', 'transition analysis', 'current vs proposed portfolio', or 'proposal compliance review'. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"joellewis-proposal-generation","task":"Install proposal-generation","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Market data, SEC filings, portfolio analysis, quant research, backtesting, and risk workflows.
Scenario
Finance and quant
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add JoelLewis/finance_skills --skill proposal-generation
Maintenance
active
2mo since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
178
63/100 Quality ยท 78/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision ยท Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
178 GitHub stars
Repo activity
178 stars, 34 forks
Maintenance
2mo since push
License
MIT
Install
npx skills add JoelLewis/finance_skills --skill proposal-generation
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add JoelLewis/finance_skills --skill proposal-generationDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20proposal-generation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20proposal-generation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/joellewis-proposal-generation/install
Agent should check
Copy prompt
Task: Use proposal-generation in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20proposal-generation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/joellewis-proposal-generation/install
Install command: npx skills add JoelLewis/finance_skills --skill proposal-generation
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/joellewis-proposal-generation/install
LLM text format
/api/skills/joellewis-proposal-generation/install?format=text
Find alternatives
/api/skills/search?q=proposal-generation&limit=3
Agent prompt
Use proposal-generation for this task. Review https://www.openagentskill.com/api/skills/joellewis-proposal-generation/install, then install with: npx skills add JoelLewis/finance_skills --skill proposal-generationRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/joellewis-proposal-generation
LLM text
/api/registry/manifest/joellewis-proposal-generation?format=text
Install alias
/api/registry/install/joellewis-proposal-generation
Recommend
/api/registry/recommend?task=Use%20proposal-generation%20in%20an%20agent%20workflow&limit=3
Agent fit
Finance and quant
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Finance and quant
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO178 GitHub stars
Stars/forks activity
CHECK178 stars, 34 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Analyze markets
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage pipeline work
I need my agent to enrich leads, update CRM records, and prepare sales follow-ups.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
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--- name: proposal-generation description: "Generate end-to-end investment proposals covering risk profiling, model portfolio recommendation, fee illustration, projections, and compliance review. Use when the user asks about creating a proposal for a prospect, mapping risk questionnaire scores to model portfolios, building fee illustrations with tiered costs, producing Monte Carlo or scenario projections, analyzing a prospect's current portfolio for improvement opportunities, reviewing proposals for SEC Marketing Rule compliance, or designing proposal templates for a multi-advisor firm. Also trigger when users mention 'investment proposal', 'proposal generation', 'risk profiling', 'Riskalyze', 'Nitrogen', 'fee illustration', 'transition analysis', 'current vs proposed portfolio', or 'proposal compliance review'." ---
# Proposal Generation
## Core Concepts
### Proposal Workflow Architecture The investment proposal is the centerpiece of the advisory sales process. It translates a prospect's financial situation and goals into a specific, actionable investment recommendation. The end-to-end workflow proceeds through defined stages:
1. **Discovery meeting** โ the advisor meets with the prospect to understand their financial situation, goals, concerns, and expectations. The advisor collects current account statements, tax returns, and any existing financial plan. The discovery meeting establishes the advisory relationship's tone and sets expectations for the proposal. 2. **Data collection and organization** โ the advisor or operations team enters prospect data into the proposal system: personal information, current holdings (manually or via account aggregation), financial goals, time horizons, income, expenses, tax situation, and any unique circumstances (concentrated positions, restricted stock, estate planning needs). 3. **Risk profiling** โ the prospect completes a risk tolerance questionnaire. The system scores the responses and produces a risk profile that maps to a position on the firm's risk-return spectrum. The risk profile is the bridge between subjective client preferences and objective portfolio construction. 4. **Model portfolio selection** โ the risk profile score maps to a specific model portfolio from the firm's lineup. The advisor reviews the mapping, considers any client-specific factors that might warrant adjustment (tax sensitivity, income needs, ESG preferences, concentrated positions), and confirms the recommended model. 5. **Current portfolio analysis** โ if the prospect has existing investments, the system analyzes their current holdings: asset allocation, risk metrics, expense ratios, tax lots, concentrated positions, overlap, and style drift. This analysis quantifies the gap between the current portfolio and the recommended model. 6. **Proposal document generation** โ the system assembles the proposal document from templates, populating it with client-specific data, the recommended portfolio, fee schedule, projections, and disclaimers. The proposal document is the deliverable that the prospect reviews and uses to make their decision. 7. **Compliance review** โ before the proposal is presented, it undergoes supervisory review to verify suitability documentation, performance presentation compliance, fee disclosure adequacy, and proper disclaimers. For firms subject to the SEC Marketing Rule, proposals that include performance data require additional scrutiny. 8. **Presentation and discussion** โ the advisor presents the proposal to the prospect, walks through the analysis and recommendation, answers questions, and addresses concerns. The presentation meeting is where the advisory value proposition is demonstrated. 9. **Revision and finalization** โ based on the prospect's feedback, the advisor may revise the recommendation (different model, adjusted allocation, modified fee structure) and regenerate the proposal. 10. **Acceptance and onboarding** โ the prospect accepts the proposal by signing the advisory agreement (IMA or similar). The proposal data flows into the onboarding process: account opening, funding, and initial investment in the recommended model.
The workflow is iterative, not strictly linear. Prospects may request multiple revisions, ask for comparisons between different models, or bring additional assets into scope after the initial proposal. The proposal system must support version tracking and efficient regeneration.
### Risk Profiling and Model Mapping Risk profiling is the foundation of the proposal recommendation. The risk questionnaire produces a quantitative score that determines which model portfolio is appropriate for the prospect.
**Risk questionnaire design:** - Questionnaires typically contain 10-25 questions assessing both willingness (behavioral/emotional tolerance for loss) and capacity (financial ability to absorb losses without jeopardizing goals). - Common question formats include: scenario-based loss tolerance ("If your portfolio lost 20% in a month, would you sell, hold, or buy more?"), time horizon assessment, income stability evaluation, and investment experience self-assessment. - Scoring produces a numerical result (e.g., 1-100) or a categorical classification (Conservative, Moderately Conservative, Moderate, Moderately Aggressive, Aggressive). - Third-party risk profiling tools (Riskalyze/Nitrogen, Tolerisk, FinaMetrica) provide validated, statistically tested questionnaires with defensible scoring methodologies. These are preferred over home-built questionnaires because they have undergone psychometric validation and are widely accepted by regulators.
**Model portfolio lineup design:** A typical advisory firm maintains 5-10 model portfolios spanning the risk-return spectrum:
| Risk Score Range | Model Name | Equity/Fixed Income | Expected Return Range | Expected Max Drawdown | |-----------------|------------|--------------------|-----------------------|----------------------| | 1-20 | Conservative Income | 20/80 | 3-5% | -8 to -12% | | 21-35 | Moderate Conservative | 35/65 | 4-6% | -12 to -18% | | 36-50 | Moderate | 50/50 | 5-7% | -18 to -25% | | 51-65 | Moderate Growth | 65/35 | 6-8% | -25 to -32% | | 66-80 | Growth | 80/20 | 7-9% | -32 to -40% | | 81-100 | Aggressive Growth | 95/5 | 8-11% | -40 to -50% |
Each model is defined by a strategic asset allocation with target weights and permissible ranges for each asset class, along with specific fund or ETF selections that implement the allocation. Models should be reviewed and rebalanced on a defined schedule (typically quarterly or semi-annually).
**Suitability alignment:** The risk profile alone does not determine the recommendation. The advisor must also consider: - **Time horizon** โ a young investor with a long horizon may be profiled as moderate but could reasonably be placed in a growth model, while a retiree with the same risk score needs more conservative positioning due to sequence-of-returns risk. - **Income needs** โ a prospect requiring portfolio income may need a model tilted toward income-producing assets, regardless of risk score. - **Tax sensitivity** โ a taxable account may warrant a tax-managed version of the model (municipal bonds, tax-loss harvesting overlay, low-turnover equity strategies). - **Concentrated positions** โ a prospect with a large single-stock position may need a transition strategy rather than an immediate full model assignment. - **ESG preferences** โ if the prospect has environmental, social, or governance preferences, the firm may offer ESG-screened variants of its standard models.
**Documenting the recommendation rationale:** The proposal must articulate why this specific model is appropriate for this prospect. The rationale should reference the risk profile score, the model's risk-return characteristics, and how the recommendation aligns with the prospect's stated objectives, time horizon, and constraints. This documentation serves both as a client communication tool and as a suitability record for compliance purposes.
### Proposal Document Components A complete investment proposal typically includes the following sections:
**Executive summary** โ a one-page overview of the recommendation: who the client is, what is being recommended, why it is appropriate, and the expected outcome. The executive summary is often the only page some decision-makers read in detail; it must be clear and compelling.
**Client profile recap** โ a summary of the prospect's financial situation as understood by the advisor: personal information, financial goals, time horizon, risk profile score and interpretation, income and expense summary, tax situation, and any special circumstances. This section demonstrates that the advisor listened during discovery and correctly understands the prospect's needs.
**Current portfolio analysis (if applicable)** โ for prospects with existing investments, this section provides: - Holdings list with current market values - Asset allocation breakdown (pie chart and table) compared to the recommended allocation - Risk metrics: portfolio standard deviation, beta, Sharpe ratio, maximum drawdown estimate - Expense analysis: weighted average expense ratio, total annual cost in dollars - Concentrated position identification: any single holding exceeding 5-10% of the portfolio - Style analysis: Morningstar style box mapping, factor exposures - Income analysis: current yield, income projection - Tax lot summary: unrealized gains and losses, short-term vs long-term, estimated tax impact of liquidation
**Recommended portfolio** โ the core of the proposal: - Asset allocation targets with visual representation (pie chart, bar chart) - Holdings list: each fund or ETF, its asset class role, expense ratio, target weight, and dollar amount - Risk-return profile of the recommended portfolio: expected return, standard deviation, Sharpe ratio, maximum drawdown estimate - Comparison table: current portfolio vs recommended portfolio on key metrics - Income projection: expected yield and annual income from the recommended portfolio
**Fee schedule** โ a complete disclosure of all costs the client will bear (see Fee Illustration section below).
**Historical performance context** โ how the recommended model or a similar allocation has performed historically. This section requires careful attention to compliance (see Performance Projections and Disclaimers section below). Common presentations include: - Historical returns of the model portfolio (if a track record exists) or a blended benchmark representing the target allocation - Calendar-year returns showing both up and down years - Growth of $1 million chart over a trailing period (e.g., 10 or 20 years) - Performance during specific market events (2008-2009 crisis, 2020 COVID drawdown, 2022 rate shock)
**Scenario projections** โ forward-looking analysis showing potential outcomes: - Monte Carlo simulation results: probability of meeting the client's goal, median outcome, 10th percentile (bad case), 90th percentile (good case) - Straight-line projections at expected return (with explicit disclaimer that this is illustrative only) - Stress test scenarios: how the portfolio would perform in a repeat of historical crises
**Disclaimers and disclosures** โ required legal language (see Compliance Review section below).
**Next steps** โ a clear call to action: sign the advisory agreement, fund the account, and begin investing. Include a timeline for implementation.
### Fee Illustration The fee illustration section of the proposal must present costs clearly, completely, and in compliance with fee disclosure requirements. Prospects make decisions based on fees; incomplete or misleading fee disclosure undermines trust and creates regulatory risk.
**Advisory fee presentation:** - Present the firm's fee schedule with all tiers and breakpoints. For a tiered schedule, show both the marginal rate at each tier and the blended (effective) rate for the prospect's specific asset level. -
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for proposal-generation, ready for a manual X post.
proposal-generation: Generate end-to-end investment proposals covering risk profiling, model portfolio recommendat... 178 stars https://www.openagentskill.com/skills/joellewis-proposal-generation?ref=x
Listing + install path for proposal-generation: https://www.openagentskill.com/skills/joellewis-proposal-generation?ref=x Install: npx skills add JoelLewis/finance_skills --skill proposal-generation
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to JoelLewis but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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@joellewis
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Install targets
Codex install prompt
Install the "proposal-generation" agent skill from https://github.com/JoelLewis/finance_skills/tree/main/plugins/advisory-practice/skills/proposal-generation. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Generate end-to-end investment proposals covering risk profiling, model portfolio recommendation, fee illustration, projections, and compliance review. Use when the user asks about creating a proposal for a prospect, mapping risk questionnaire scores to model portfolios, building fee illustrations with tiered costs, producing Monte Carlo or scenario projections, analyzing a prospect's current portfolio for improvement opportunities, reviewing proposals for SEC Marketing Rule compliance, or designing proposal templates for a multi-advisor firm. Also trigger when users mention 'investment proposal', 'proposal generation', 'risk profiling', 'Riskalyze', 'Nitrogen', 'fee illustration', 'transition analysis', 'current vs proposed portfolio', or 'proposal compliance review'. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"joellewis-proposal-generation","task":"Install proposal-generation","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Market data, SEC filings, portfolio analysis, quant research, backtesting, and risk workflows.
Scenario
Finance and quant
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add JoelLewis/finance_skills --skill proposal-generation
Maintenance
active
2mo since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
178
63/100 Quality ยท 78/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision ยท Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
178 GitHub stars
Repo activity
178 stars, 34 forks
Maintenance
2mo since push
License
MIT
Install
npx skills add JoelLewis/finance_skills --skill proposal-generation
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add JoelLewis/finance_skills --skill proposal-generationDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20proposal-generation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20proposal-generation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/joellewis-proposal-generation/install
Agent should check
Copy prompt
Task: Use proposal-generation in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20proposal-generation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/joellewis-proposal-generation/install
Install command: npx skills add JoelLewis/finance_skills --skill proposal-generation
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/joellewis-proposal-generation/install
LLM text format
/api/skills/joellewis-proposal-generation/install?format=text
Find alternatives
/api/skills/search?q=proposal-generation&limit=3
Agent prompt
Use proposal-generation for this task. Review https://www.openagentskill.com/api/skills/joellewis-proposal-generation/install, then install with: npx skills add JoelLewis/finance_skills --skill proposal-generationRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/joellewis-proposal-generation
LLM text
/api/registry/manifest/joellewis-proposal-generation?format=text
Install alias
/api/registry/install/joellewis-proposal-generation
Recommend
/api/registry/recommend?task=Use%20proposal-generation%20in%20an%20agent%20workflow&limit=3
Agent fit
Finance and quant
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Finance and quant
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO178 GitHub stars
Stars/forks activity
CHECK178 stars, 34 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Analyze markets
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage pipeline work
I need my agent to enrich leads, update CRM records, and prepare sales follow-ups.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
๐ต๏ธโโ๏ธ Collect a dossier on a person by username from 3000+ sites
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: proposal-generation description: "Generate end-to-end investment proposals covering risk profiling, model portfolio recommendation, fee illustration, projections, and compliance review. Use when the user asks about creating a proposal for a prospect, mapping risk questionnaire scores to model portfolios, building fee illustrations with tiered costs, producing Monte Carlo or scenario projections, analyzing a prospect's current portfolio for improvement opportunities, reviewing proposals for SEC Marketing Rule compliance, or designing proposal templates for a multi-advisor firm. Also trigger when users mention 'investment proposal', 'proposal generation', 'risk profiling', 'Riskalyze', 'Nitrogen', 'fee illustration', 'transition analysis', 'current vs proposed portfolio', or 'proposal compliance review'." ---
# Proposal Generation
## Core Concepts
### Proposal Workflow Architecture The investment proposal is the centerpiece of the advisory sales process. It translates a prospect's financial situation and goals into a specific, actionable investment recommendation. The end-to-end workflow proceeds through defined stages:
1. **Discovery meeting** โ the advisor meets with the prospect to understand their financial situation, goals, concerns, and expectations. The advisor collects current account statements, tax returns, and any existing financial plan. The discovery meeting establishes the advisory relationship's tone and sets expectations for the proposal. 2. **Data collection and organization** โ the advisor or operations team enters prospect data into the proposal system: personal information, current holdings (manually or via account aggregation), financial goals, time horizons, income, expenses, tax situation, and any unique circumstances (concentrated positions, restricted stock, estate planning needs). 3. **Risk profiling** โ the prospect completes a risk tolerance questionnaire. The system scores the responses and produces a risk profile that maps to a position on the firm's risk-return spectrum. The risk profile is the bridge between subjective client preferences and objective portfolio construction. 4. **Model portfolio selection** โ the risk profile score maps to a specific model portfolio from the firm's lineup. The advisor reviews the mapping, considers any client-specific factors that might warrant adjustment (tax sensitivity, income needs, ESG preferences, concentrated positions), and confirms the recommended model. 5. **Current portfolio analysis** โ if the prospect has existing investments, the system analyzes their current holdings: asset allocation, risk metrics, expense ratios, tax lots, concentrated positions, overlap, and style drift. This analysis quantifies the gap between the current portfolio and the recommended model. 6. **Proposal document generation** โ the system assembles the proposal document from templates, populating it with client-specific data, the recommended portfolio, fee schedule, projections, and disclaimers. The proposal document is the deliverable that the prospect reviews and uses to make their decision. 7. **Compliance review** โ before the proposal is presented, it undergoes supervisory review to verify suitability documentation, performance presentation compliance, fee disclosure adequacy, and proper disclaimers. For firms subject to the SEC Marketing Rule, proposals that include performance data require additional scrutiny. 8. **Presentation and discussion** โ the advisor presents the proposal to the prospect, walks through the analysis and recommendation, answers questions, and addresses concerns. The presentation meeting is where the advisory value proposition is demonstrated. 9. **Revision and finalization** โ based on the prospect's feedback, the advisor may revise the recommendation (different model, adjusted allocation, modified fee structure) and regenerate the proposal. 10. **Acceptance and onboarding** โ the prospect accepts the proposal by signing the advisory agreement (IMA or similar). The proposal data flows into the onboarding process: account opening, funding, and initial investment in the recommended model.
The workflow is iterative, not strictly linear. Prospects may request multiple revisions, ask for comparisons between different models, or bring additional assets into scope after the initial proposal. The proposal system must support version tracking and efficient regeneration.
### Risk Profiling and Model Mapping Risk profiling is the foundation of the proposal recommendation. The risk questionnaire produces a quantitative score that determines which model portfolio is appropriate for the prospect.
**Risk questionnaire design:** - Questionnaires typically contain 10-25 questions assessing both willingness (behavioral/emotional tolerance for loss) and capacity (financial ability to absorb losses without jeopardizing goals). - Common question formats include: scenario-based loss tolerance ("If your portfolio lost 20% in a month, would you sell, hold, or buy more?"), time horizon assessment, income stability evaluation, and investment experience self-assessment. - Scoring produces a numerical result (e.g., 1-100) or a categorical classification (Conservative, Moderately Conservative, Moderate, Moderately Aggressive, Aggressive). - Third-party risk profiling tools (Riskalyze/Nitrogen, Tolerisk, FinaMetrica) provide validated, statistically tested questionnaires with defensible scoring methodologies. These are preferred over home-built questionnaires because they have undergone psychometric validation and are widely accepted by regulators.
**Model portfolio lineup design:** A typical advisory firm maintains 5-10 model portfolios spanning the risk-return spectrum:
| Risk Score Range | Model Name | Equity/Fixed Income | Expected Return Range | Expected Max Drawdown | |-----------------|------------|--------------------|-----------------------|----------------------| | 1-20 | Conservative Income | 20/80 | 3-5% | -8 to -12% | | 21-35 | Moderate Conservative | 35/65 | 4-6% | -12 to -18% | | 36-50 | Moderate | 50/50 | 5-7% | -18 to -25% | | 51-65 | Moderate Growth | 65/35 | 6-8% | -25 to -32% | | 66-80 | Growth | 80/20 | 7-9% | -32 to -40% | | 81-100 | Aggressive Growth | 95/5 | 8-11% | -40 to -50% |
Each model is defined by a strategic asset allocation with target weights and permissible ranges for each asset class, along with specific fund or ETF selections that implement the allocation. Models should be reviewed and rebalanced on a defined schedule (typically quarterly or semi-annually).
**Suitability alignment:** The risk profile alone does not determine the recommendation. The advisor must also consider: - **Time horizon** โ a young investor with a long horizon may be profiled as moderate but could reasonably be placed in a growth model, while a retiree with the same risk score needs more conservative positioning due to sequence-of-returns risk. - **Income needs** โ a prospect requiring portfolio income may need a model tilted toward income-producing assets, regardless of risk score. - **Tax sensitivity** โ a taxable account may warrant a tax-managed version of the model (municipal bonds, tax-loss harvesting overlay, low-turnover equity strategies). - **Concentrated positions** โ a prospect with a large single-stock position may need a transition strategy rather than an immediate full model assignment. - **ESG preferences** โ if the prospect has environmental, social, or governance preferences, the firm may offer ESG-screened variants of its standard models.
**Documenting the recommendation rationale:** The proposal must articulate why this specific model is appropriate for this prospect. The rationale should reference the risk profile score, the model's risk-return characteristics, and how the recommendation aligns with the prospect's stated objectives, time horizon, and constraints. This documentation serves both as a client communication tool and as a suitability record for compliance purposes.
### Proposal Document Components A complete investment proposal typically includes the following sections:
**Executive summary** โ a one-page overview of the recommendation: who the client is, what is being recommended, why it is appropriate, and the expected outcome. The executive summary is often the only page some decision-makers read in detail; it must be clear and compelling.
**Client profile recap** โ a summary of the prospect's financial situation as understood by the advisor: personal information, financial goals, time horizon, risk profile score and interpretation, income and expense summary, tax situation, and any special circumstances. This section demonstrates that the advisor listened during discovery and correctly understands the prospect's needs.
**Current portfolio analysis (if applicable)** โ for prospects with existing investments, this section provides: - Holdings list with current market values - Asset allocation breakdown (pie chart and table) compared to the recommended allocation - Risk metrics: portfolio standard deviation, beta, Sharpe ratio, maximum drawdown estimate - Expense analysis: weighted average expense ratio, total annual cost in dollars - Concentrated position identification: any single holding exceeding 5-10% of the portfolio - Style analysis: Morningstar style box mapping, factor exposures - Income analysis: current yield, income projection - Tax lot summary: unrealized gains and losses, short-term vs long-term, estimated tax impact of liquidation
**Recommended portfolio** โ the core of the proposal: - Asset allocation targets with visual representation (pie chart, bar chart) - Holdings list: each fund or ETF, its asset class role, expense ratio, target weight, and dollar amount - Risk-return profile of the recommended portfolio: expected return, standard deviation, Sharpe ratio, maximum drawdown estimate - Comparison table: current portfolio vs recommended portfolio on key metrics - Income projection: expected yield and annual income from the recommended portfolio
**Fee schedule** โ a complete disclosure of all costs the client will bear (see Fee Illustration section below).
**Historical performance context** โ how the recommended model or a similar allocation has performed historically. This section requires careful attention to compliance (see Performance Projections and Disclaimers section below). Common presentations include: - Historical returns of the model portfolio (if a track record exists) or a blended benchmark representing the target allocation - Calendar-year returns showing both up and down years - Growth of $1 million chart over a trailing period (e.g., 10 or 20 years) - Performance during specific market events (2008-2009 crisis, 2020 COVID drawdown, 2022 rate shock)
**Scenario projections** โ forward-looking analysis showing potential outcomes: - Monte Carlo simulation results: probability of meeting the client's goal, median outcome, 10th percentile (bad case), 90th percentile (good case) - Straight-line projections at expected return (with explicit disclaimer that this is illustrative only) - Stress test scenarios: how the portfolio would perform in a repeat of historical crises
**Disclaimers and disclosures** โ required legal language (see Compliance Review section below).
**Next steps** โ a clear call to action: sign the advisory agreement, fund the account, and begin investing. Include a timeline for implementation.
### Fee Illustration The fee illustration section of the proposal must present costs clearly, completely, and in compliance with fee disclosure requirements. Prospects make decisions based on fees; incomplete or misleading fee disclosure undermines trust and creates regulatory risk.
**Advisory fee presentation:** - Present the firm's fee schedule with all tiers and breakpoints. For a tiered schedule, show both the marginal rate at each tier and the blended (effective) rate for the prospect's specific asset level. -
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proposal-generation: Generate end-to-end investment proposals covering risk profiling, model portfolio recommendat... 178 stars https://www.openagentskill.com/skills/joellewis-proposal-generation?ref=x
Listing + install path for proposal-generation: https://www.openagentskill.com/skills/joellewis-proposal-generation?ref=x Install: npx skills add JoelLewis/finance_skills --skill proposal-generation
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[](https://www.openagentskill.com/skills/joellewis-proposal-generation?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)JoelLewis
@joellewis
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Codex install prompt
Install the "proposal-generation" agent skill from https://github.com/JoelLewis/finance_skills/tree/main/plugins/advisory-practice/skills/proposal-generation. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Generate end-to-end investment proposals covering risk profiling, model portfolio recommendation, fee illustration, projections, and compliance review. Use when the user asks about creating a proposal for a prospect, mapping risk questionnaire scores to model portfolios, building fee illustrations with tiered costs, producing Monte Carlo or scenario projections, analyzing a prospect's current portfolio for improvement opportunities, reviewing proposals for SEC Marketing Rule compliance, or designing proposal templates for a multi-advisor firm. Also trigger when users mention 'investment proposal', 'proposal generation', 'risk profiling', 'Riskalyze', 'Nitrogen', 'fee illustration', 'transition analysis', 'current vs proposed portfolio', or 'proposal compliance review'. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"joellewis-proposal-generation","task":"Install proposal-generation","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Market data, SEC filings, portfolio analysis, quant research, backtesting, and risk workflows.
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Finance and quant
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
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Claude Code + CLI + Codex
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Financial research output is not financial advice; require human review before any live investment decision ยท Financial research output is not financial advice; require human review before any live investment decision.
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/api/agent/resolve?task=Use%20proposal-generation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
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Task: Use proposal-generation in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20proposal-generation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/joellewis-proposal-generation/install
Install command: npx skills add JoelLewis/finance_skills --skill proposal-generation
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Use proposal-generation for this task. Review https://www.openagentskill.com/api/skills/joellewis-proposal-generation/install, then install with: npx skills add JoelLewis/finance_skills --skill proposal-generationRegistry metadata
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Finance and quant
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INFO178 GitHub stars
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Analyze markets
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Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
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Turn skills into distribution
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Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: proposal-generation description: "Generate end-to-end investment proposals covering risk profiling, model portfolio recommendation, fee illustration, projections, and compliance review. Use when the user asks about creating a proposal for a prospect, mapping risk questionnaire scores to model portfolios, building fee illustrations with tiered costs, producing Monte Carlo or scenario projections, analyzing a prospect's current portfolio for improvement opportunities, reviewing proposals for SEC Marketing Rule compliance, or designing proposal templates for a multi-advisor firm. Also trigger when users mention 'investment proposal', 'proposal generation', 'risk profiling', 'Riskalyze', 'Nitrogen', 'fee illustration', 'transition analysis', 'current vs proposed portfolio', or 'proposal compliance review'." ---
# Proposal Generation
## Core Concepts
### Proposal Workflow Architecture The investment proposal is the centerpiece of the advisory sales process. It translates a prospect's financial situation and goals into a specific, actionable investment recommendation. The end-to-end workflow proceeds through defined stages:
1. **Discovery meeting** โ the advisor meets with the prospect to understand their financial situation, goals, concerns, and expectations. The advisor collects current account statements, tax returns, and any existing financial plan. The discovery meeting establishes the advisory relationship's tone and sets expectations for the proposal. 2. **Data collection and organization** โ the advisor or operations team enters prospect data into the proposal system: personal information, current holdings (manually or via account aggregation), financial goals, time horizons, income, expenses, tax situation, and any unique circumstances (concentrated positions, restricted stock, estate planning needs). 3. **Risk profiling** โ the prospect completes a risk tolerance questionnaire. The system scores the responses and produces a risk profile that maps to a position on the firm's risk-return spectrum. The risk profile is the bridge between subjective client preferences and objective portfolio construction. 4. **Model portfolio selection** โ the risk profile score maps to a specific model portfolio from the firm's lineup. The advisor reviews the mapping, considers any client-specific factors that might warrant adjustment (tax sensitivity, income needs, ESG preferences, concentrated positions), and confirms the recommended model. 5. **Current portfolio analysis** โ if the prospect has existing investments, the system analyzes their current holdings: asset allocation, risk metrics, expense ratios, tax lots, concentrated positions, overlap, and style drift. This analysis quantifies the gap between the current portfolio and the recommended model. 6. **Proposal document generation** โ the system assembles the proposal document from templates, populating it with client-specific data, the recommended portfolio, fee schedule, projections, and disclaimers. The proposal document is the deliverable that the prospect reviews and uses to make their decision. 7. **Compliance review** โ before the proposal is presented, it undergoes supervisory review to verify suitability documentation, performance presentation compliance, fee disclosure adequacy, and proper disclaimers. For firms subject to the SEC Marketing Rule, proposals that include performance data require additional scrutiny. 8. **Presentation and discussion** โ the advisor presents the proposal to the prospect, walks through the analysis and recommendation, answers questions, and addresses concerns. The presentation meeting is where the advisory value proposition is demonstrated. 9. **Revision and finalization** โ based on the prospect's feedback, the advisor may revise the recommendation (different model, adjusted allocation, modified fee structure) and regenerate the proposal. 10. **Acceptance and onboarding** โ the prospect accepts the proposal by signing the advisory agreement (IMA or similar). The proposal data flows into the onboarding process: account opening, funding, and initial investment in the recommended model.
The workflow is iterative, not strictly linear. Prospects may request multiple revisions, ask for comparisons between different models, or bring additional assets into scope after the initial proposal. The proposal system must support version tracking and efficient regeneration.
### Risk Profiling and Model Mapping Risk profiling is the foundation of the proposal recommendation. The risk questionnaire produces a quantitative score that determines which model portfolio is appropriate for the prospect.
**Risk questionnaire design:** - Questionnaires typically contain 10-25 questions assessing both willingness (behavioral/emotional tolerance for loss) and capacity (financial ability to absorb losses without jeopardizing goals). - Common question formats include: scenario-based loss tolerance ("If your portfolio lost 20% in a month, would you sell, hold, or buy more?"), time horizon assessment, income stability evaluation, and investment experience self-assessment. - Scoring produces a numerical result (e.g., 1-100) or a categorical classification (Conservative, Moderately Conservative, Moderate, Moderately Aggressive, Aggressive). - Third-party risk profiling tools (Riskalyze/Nitrogen, Tolerisk, FinaMetrica) provide validated, statistically tested questionnaires with defensible scoring methodologies. These are preferred over home-built questionnaires because they have undergone psychometric validation and are widely accepted by regulators.
**Model portfolio lineup design:** A typical advisory firm maintains 5-10 model portfolios spanning the risk-return spectrum:
| Risk Score Range | Model Name | Equity/Fixed Income | Expected Return Range | Expected Max Drawdown | |-----------------|------------|--------------------|-----------------------|----------------------| | 1-20 | Conservative Income | 20/80 | 3-5% | -8 to -12% | | 21-35 | Moderate Conservative | 35/65 | 4-6% | -12 to -18% | | 36-50 | Moderate | 50/50 | 5-7% | -18 to -25% | | 51-65 | Moderate Growth | 65/35 | 6-8% | -25 to -32% | | 66-80 | Growth | 80/20 | 7-9% | -32 to -40% | | 81-100 | Aggressive Growth | 95/5 | 8-11% | -40 to -50% |
Each model is defined by a strategic asset allocation with target weights and permissible ranges for each asset class, along with specific fund or ETF selections that implement the allocation. Models should be reviewed and rebalanced on a defined schedule (typically quarterly or semi-annually).
**Suitability alignment:** The risk profile alone does not determine the recommendation. The advisor must also consider: - **Time horizon** โ a young investor with a long horizon may be profiled as moderate but could reasonably be placed in a growth model, while a retiree with the same risk score needs more conservative positioning due to sequence-of-returns risk. - **Income needs** โ a prospect requiring portfolio income may need a model tilted toward income-producing assets, regardless of risk score. - **Tax sensitivity** โ a taxable account may warrant a tax-managed version of the model (municipal bonds, tax-loss harvesting overlay, low-turnover equity strategies). - **Concentrated positions** โ a prospect with a large single-stock position may need a transition strategy rather than an immediate full model assignment. - **ESG preferences** โ if the prospect has environmental, social, or governance preferences, the firm may offer ESG-screened variants of its standard models.
**Documenting the recommendation rationale:** The proposal must articulate why this specific model is appropriate for this prospect. The rationale should reference the risk profile score, the model's risk-return characteristics, and how the recommendation aligns with the prospect's stated objectives, time horizon, and constraints. This documentation serves both as a client communication tool and as a suitability record for compliance purposes.
### Proposal Document Components A complete investment proposal typically includes the following sections:
**Executive summary** โ a one-page overview of the recommendation: who the client is, what is being recommended, why it is appropriate, and the expected outcome. The executive summary is often the only page some decision-makers read in detail; it must be clear and compelling.
**Client profile recap** โ a summary of the prospect's financial situation as understood by the advisor: personal information, financial goals, time horizon, risk profile score and interpretation, income and expense summary, tax situation, and any special circumstances. This section demonstrates that the advisor listened during discovery and correctly understands the prospect's needs.
**Current portfolio analysis (if applicable)** โ for prospects with existing investments, this section provides: - Holdings list with current market values - Asset allocation breakdown (pie chart and table) compared to the recommended allocation - Risk metrics: portfolio standard deviation, beta, Sharpe ratio, maximum drawdown estimate - Expense analysis: weighted average expense ratio, total annual cost in dollars - Concentrated position identification: any single holding exceeding 5-10% of the portfolio - Style analysis: Morningstar style box mapping, factor exposures - Income analysis: current yield, income projection - Tax lot summary: unrealized gains and losses, short-term vs long-term, estimated tax impact of liquidation
**Recommended portfolio** โ the core of the proposal: - Asset allocation targets with visual representation (pie chart, bar chart) - Holdings list: each fund or ETF, its asset class role, expense ratio, target weight, and dollar amount - Risk-return profile of the recommended portfolio: expected return, standard deviation, Sharpe ratio, maximum drawdown estimate - Comparison table: current portfolio vs recommended portfolio on key metrics - Income projection: expected yield and annual income from the recommended portfolio
**Fee schedule** โ a complete disclosure of all costs the client will bear (see Fee Illustration section below).
**Historical performance context** โ how the recommended model or a similar allocation has performed historically. This section requires careful attention to compliance (see Performance Projections and Disclaimers section below). Common presentations include: - Historical returns of the model portfolio (if a track record exists) or a blended benchmark representing the target allocation - Calendar-year returns showing both up and down years - Growth of $1 million chart over a trailing period (e.g., 10 or 20 years) - Performance during specific market events (2008-2009 crisis, 2020 COVID drawdown, 2022 rate shock)
**Scenario projections** โ forward-looking analysis showing potential outcomes: - Monte Carlo simulation results: probability of meeting the client's goal, median outcome, 10th percentile (bad case), 90th percentile (good case) - Straight-line projections at expected return (with explicit disclaimer that this is illustrative only) - Stress test scenarios: how the portfolio would perform in a repeat of historical crises
**Disclaimers and disclosures** โ required legal language (see Compliance Review section below).
**Next steps** โ a clear call to action: sign the advisory agreement, fund the account, and begin investing. Include a timeline for implementation.
### Fee Illustration The fee illustration section of the proposal must present costs clearly, completely, and in compliance with fee disclosure requirements. Prospects make decisions based on fees; incomplete or misleading fee disclosure undermines trust and creates regulatory risk.
**Advisory fee presentation:** - Present the firm's fee schedule with all tiers and breakpoints. For a tiered schedule, show both the marginal rate at each tier and the blended (effective) rate for the prospect's specific asset level. -
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for proposal-generation, ready for a manual X post.
proposal-generation: Generate end-to-end investment proposals covering risk profiling, model portfolio recommendat... 178 stars https://www.openagentskill.com/skills/joellewis-proposal-generation?ref=x
Listing + install path for proposal-generation: https://www.openagentskill.com/skills/joellewis-proposal-generation?ref=x Install: npx skills add JoelLewis/finance_skills --skill proposal-generation
Listing source
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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
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[](https://www.openagentskill.com/skills/joellewis-proposal-generation?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/joellewis-proposal-generation?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
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[](https://www.openagentskill.com/skills/joellewis-proposal-generation?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)JoelLewis
@joellewis
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Install targets
Codex install prompt
Install the "proposal-generation" agent skill from https://github.com/JoelLewis/finance_skills/tree/main/plugins/advisory-practice/skills/proposal-generation. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Generate end-to-end investment proposals covering risk profiling, model portfolio recommendation, fee illustration, projections, and compliance review. Use when the user asks about creating a proposal for a prospect, mapping risk questionnaire scores to model portfolios, building fee illustrations with tiered costs, producing Monte Carlo or scenario projections, analyzing a prospect's current portfolio for improvement opportunities, reviewing proposals for SEC Marketing Rule compliance, or designing proposal templates for a multi-advisor firm. Also trigger when users mention 'investment proposal', 'proposal generation', 'risk profiling', 'Riskalyze', 'Nitrogen', 'fee illustration', 'transition analysis', 'current vs proposed portfolio', or 'proposal compliance review'. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"joellewis-proposal-generation","task":"Install proposal-generation","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Market data, SEC filings, portfolio analysis, quant research, backtesting, and risk workflows.
Scenario
Finance and quant
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add JoelLewis/finance_skills --skill proposal-generation
Maintenance
active
2mo since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
178
63/100 Quality ยท 78/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision ยท Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
178 GitHub stars
Repo activity
178 stars, 34 forks
Maintenance
2mo since push
License
MIT
Install
npx skills add JoelLewis/finance_skills --skill proposal-generation
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add JoelLewis/finance_skills --skill proposal-generationDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20proposal-generation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20proposal-generation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/joellewis-proposal-generation/install
Agent should check
Copy prompt
Task: Use proposal-generation in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20proposal-generation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/joellewis-proposal-generation/install
Install command: npx skills add JoelLewis/finance_skills --skill proposal-generation
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/joellewis-proposal-generation/install
LLM text format
/api/skills/joellewis-proposal-generation/install?format=text
Find alternatives
/api/skills/search?q=proposal-generation&limit=3
Agent prompt
Use proposal-generation for this task. Review https://www.openagentskill.com/api/skills/joellewis-proposal-generation/install, then install with: npx skills add JoelLewis/finance_skills --skill proposal-generationRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/joellewis-proposal-generation
LLM text
/api/registry/manifest/joellewis-proposal-generation?format=text
Install alias
/api/registry/install/joellewis-proposal-generation
Recommend
/api/registry/recommend?task=Use%20proposal-generation%20in%20an%20agent%20workflow&limit=3
Agent fit
Finance and quant
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Finance and quant
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO178 GitHub stars
Stars/forks activity
CHECK178 stars, 34 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Analyze markets
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage pipeline work
I need my agent to enrich leads, update CRM records, and prepare sales follow-ups.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
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Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: proposal-generation description: "Generate end-to-end investment proposals covering risk profiling, model portfolio recommendation, fee illustration, projections, and compliance review. Use when the user asks about creating a proposal for a prospect, mapping risk questionnaire scores to model portfolios, building fee illustrations with tiered costs, producing Monte Carlo or scenario projections, analyzing a prospect's current portfolio for improvement opportunities, reviewing proposals for SEC Marketing Rule compliance, or designing proposal templates for a multi-advisor firm. Also trigger when users mention 'investment proposal', 'proposal generation', 'risk profiling', 'Riskalyze', 'Nitrogen', 'fee illustration', 'transition analysis', 'current vs proposed portfolio', or 'proposal compliance review'." ---
# Proposal Generation
## Core Concepts
### Proposal Workflow Architecture The investment proposal is the centerpiece of the advisory sales process. It translates a prospect's financial situation and goals into a specific, actionable investment recommendation. The end-to-end workflow proceeds through defined stages:
1. **Discovery meeting** โ the advisor meets with the prospect to understand their financial situation, goals, concerns, and expectations. The advisor collects current account statements, tax returns, and any existing financial plan. The discovery meeting establishes the advisory relationship's tone and sets expectations for the proposal. 2. **Data collection and organization** โ the advisor or operations team enters prospect data into the proposal system: personal information, current holdings (manually or via account aggregation), financial goals, time horizons, income, expenses, tax situation, and any unique circumstances (concentrated positions, restricted stock, estate planning needs). 3. **Risk profiling** โ the prospect completes a risk tolerance questionnaire. The system scores the responses and produces a risk profile that maps to a position on the firm's risk-return spectrum. The risk profile is the bridge between subjective client preferences and objective portfolio construction. 4. **Model portfolio selection** โ the risk profile score maps to a specific model portfolio from the firm's lineup. The advisor reviews the mapping, considers any client-specific factors that might warrant adjustment (tax sensitivity, income needs, ESG preferences, concentrated positions), and confirms the recommended model. 5. **Current portfolio analysis** โ if the prospect has existing investments, the system analyzes their current holdings: asset allocation, risk metrics, expense ratios, tax lots, concentrated positions, overlap, and style drift. This analysis quantifies the gap between the current portfolio and the recommended model. 6. **Proposal document generation** โ the system assembles the proposal document from templates, populating it with client-specific data, the recommended portfolio, fee schedule, projections, and disclaimers. The proposal document is the deliverable that the prospect reviews and uses to make their decision. 7. **Compliance review** โ before the proposal is presented, it undergoes supervisory review to verify suitability documentation, performance presentation compliance, fee disclosure adequacy, and proper disclaimers. For firms subject to the SEC Marketing Rule, proposals that include performance data require additional scrutiny. 8. **Presentation and discussion** โ the advisor presents the proposal to the prospect, walks through the analysis and recommendation, answers questions, and addresses concerns. The presentation meeting is where the advisory value proposition is demonstrated. 9. **Revision and finalization** โ based on the prospect's feedback, the advisor may revise the recommendation (different model, adjusted allocation, modified fee structure) and regenerate the proposal. 10. **Acceptance and onboarding** โ the prospect accepts the proposal by signing the advisory agreement (IMA or similar). The proposal data flows into the onboarding process: account opening, funding, and initial investment in the recommended model.
The workflow is iterative, not strictly linear. Prospects may request multiple revisions, ask for comparisons between different models, or bring additional assets into scope after the initial proposal. The proposal system must support version tracking and efficient regeneration.
### Risk Profiling and Model Mapping Risk profiling is the foundation of the proposal recommendation. The risk questionnaire produces a quantitative score that determines which model portfolio is appropriate for the prospect.
**Risk questionnaire design:** - Questionnaires typically contain 10-25 questions assessing both willingness (behavioral/emotional tolerance for loss) and capacity (financial ability to absorb losses without jeopardizing goals). - Common question formats include: scenario-based loss tolerance ("If your portfolio lost 20% in a month, would you sell, hold, or buy more?"), time horizon assessment, income stability evaluation, and investment experience self-assessment. - Scoring produces a numerical result (e.g., 1-100) or a categorical classification (Conservative, Moderately Conservative, Moderate, Moderately Aggressive, Aggressive). - Third-party risk profiling tools (Riskalyze/Nitrogen, Tolerisk, FinaMetrica) provide validated, statistically tested questionnaires with defensible scoring methodologies. These are preferred over home-built questionnaires because they have undergone psychometric validation and are widely accepted by regulators.
**Model portfolio lineup design:** A typical advisory firm maintains 5-10 model portfolios spanning the risk-return spectrum:
| Risk Score Range | Model Name | Equity/Fixed Income | Expected Return Range | Expected Max Drawdown | |-----------------|------------|--------------------|-----------------------|----------------------| | 1-20 | Conservative Income | 20/80 | 3-5% | -8 to -12% | | 21-35 | Moderate Conservative | 35/65 | 4-6% | -12 to -18% | | 36-50 | Moderate | 50/50 | 5-7% | -18 to -25% | | 51-65 | Moderate Growth | 65/35 | 6-8% | -25 to -32% | | 66-80 | Growth | 80/20 | 7-9% | -32 to -40% | | 81-100 | Aggressive Growth | 95/5 | 8-11% | -40 to -50% |
Each model is defined by a strategic asset allocation with target weights and permissible ranges for each asset class, along with specific fund or ETF selections that implement the allocation. Models should be reviewed and rebalanced on a defined schedule (typically quarterly or semi-annually).
**Suitability alignment:** The risk profile alone does not determine the recommendation. The advisor must also consider: - **Time horizon** โ a young investor with a long horizon may be profiled as moderate but could reasonably be placed in a growth model, while a retiree with the same risk score needs more conservative positioning due to sequence-of-returns risk. - **Income needs** โ a prospect requiring portfolio income may need a model tilted toward income-producing assets, regardless of risk score. - **Tax sensitivity** โ a taxable account may warrant a tax-managed version of the model (municipal bonds, tax-loss harvesting overlay, low-turnover equity strategies). - **Concentrated positions** โ a prospect with a large single-stock position may need a transition strategy rather than an immediate full model assignment. - **ESG preferences** โ if the prospect has environmental, social, or governance preferences, the firm may offer ESG-screened variants of its standard models.
**Documenting the recommendation rationale:** The proposal must articulate why this specific model is appropriate for this prospect. The rationale should reference the risk profile score, the model's risk-return characteristics, and how the recommendation aligns with the prospect's stated objectives, time horizon, and constraints. This documentation serves both as a client communication tool and as a suitability record for compliance purposes.
### Proposal Document Components A complete investment proposal typically includes the following sections:
**Executive summary** โ a one-page overview of the recommendation: who the client is, what is being recommended, why it is appropriate, and the expected outcome. The executive summary is often the only page some decision-makers read in detail; it must be clear and compelling.
**Client profile recap** โ a summary of the prospect's financial situation as understood by the advisor: personal information, financial goals, time horizon, risk profile score and interpretation, income and expense summary, tax situation, and any special circumstances. This section demonstrates that the advisor listened during discovery and correctly understands the prospect's needs.
**Current portfolio analysis (if applicable)** โ for prospects with existing investments, this section provides: - Holdings list with current market values - Asset allocation breakdown (pie chart and table) compared to the recommended allocation - Risk metrics: portfolio standard deviation, beta, Sharpe ratio, maximum drawdown estimate - Expense analysis: weighted average expense ratio, total annual cost in dollars - Concentrated position identification: any single holding exceeding 5-10% of the portfolio - Style analysis: Morningstar style box mapping, factor exposures - Income analysis: current yield, income projection - Tax lot summary: unrealized gains and losses, short-term vs long-term, estimated tax impact of liquidation
**Recommended portfolio** โ the core of the proposal: - Asset allocation targets with visual representation (pie chart, bar chart) - Holdings list: each fund or ETF, its asset class role, expense ratio, target weight, and dollar amount - Risk-return profile of the recommended portfolio: expected return, standard deviation, Sharpe ratio, maximum drawdown estimate - Comparison table: current portfolio vs recommended portfolio on key metrics - Income projection: expected yield and annual income from the recommended portfolio
**Fee schedule** โ a complete disclosure of all costs the client will bear (see Fee Illustration section below).
**Historical performance context** โ how the recommended model or a similar allocation has performed historically. This section requires careful attention to compliance (see Performance Projections and Disclaimers section below). Common presentations include: - Historical returns of the model portfolio (if a track record exists) or a blended benchmark representing the target allocation - Calendar-year returns showing both up and down years - Growth of $1 million chart over a trailing period (e.g., 10 or 20 years) - Performance during specific market events (2008-2009 crisis, 2020 COVID drawdown, 2022 rate shock)
**Scenario projections** โ forward-looking analysis showing potential outcomes: - Monte Carlo simulation results: probability of meeting the client's goal, median outcome, 10th percentile (bad case), 90th percentile (good case) - Straight-line projections at expected return (with explicit disclaimer that this is illustrative only) - Stress test scenarios: how the portfolio would perform in a repeat of historical crises
**Disclaimers and disclosures** โ required legal language (see Compliance Review section below).
**Next steps** โ a clear call to action: sign the advisory agreement, fund the account, and begin investing. Include a timeline for implementation.
### Fee Illustration The fee illustration section of the proposal must present costs clearly, completely, and in compliance with fee disclosure requirements. Prospects make decisions based on fees; incomplete or misleading fee disclosure undermines trust and creates regulatory risk.
**Advisory fee presentation:** - Present the firm's fee schedule with all tiers and breakpoints. For a tiered schedule, show both the marginal rate at each tier and the blended (effective) rate for the prospect's specific asset level. -
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for proposal-generation, ready for a manual X post.
proposal-generation: Generate end-to-end investment proposals covering risk profiling, model portfolio recommendat... 178 stars https://www.openagentskill.com/skills/joellewis-proposal-generation?ref=x
Listing + install path for proposal-generation: https://www.openagentskill.com/skills/joellewis-proposal-generation?ref=x Install: npx skills add JoelLewis/finance_skills --skill proposal-generation
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[](https://www.openagentskill.com/skills/joellewis-proposal-generation?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/joellewis-proposal-generation?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/joellewis-proposal-generation/audit)
[](https://www.openagentskill.com/skills/joellewis-proposal-generation?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)JoelLewis
@joellewis
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Wazuh
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
16.3K StarsMaigret
๐ต๏ธโโ๏ธ Collect a dossier on a person by username from 3000+ sites
32.9K StarsNuclei
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29.2K StarsInfisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
27.4K StarsPermission surface
filesystem or document access
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Docs
Usable metadata, review docs
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Install readiness
Permission surface
filesystem or document access
Agent outcomes
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Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness