double-diamond
Universal multi-agent orchestration workflow based on the Double Diamond framework (Inception -> Discovery -> Definition -> Development -> Delivery). Coordinates parallel subagents with context isolation to separate problem-space research from solution-space implementation. Activ
Supply asset profile
Research and knowledge work
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add danicat/skills --skill double-diamond
Maintenance
fresh
Pushed today
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
16
59/100 Quality · 69/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · No critical security issues found. The skill is a workflow description and does not include any executable code or instructions that could lead to unsafe actions.
Agent adoption scorecard
Trust, audit, and install readiness at a glance
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
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
16 GitHub stars
Repo activity
16 stars, 3 forks
Maintenance
Pushed today
License
Apache-2.0
Install
npx skills add danicat/skills --skill double-diamond
Install safety
standard package or runtime install path
Permission surface
filesystem or document access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Review before production
- No critical security issues found. The skill is a workflow description and does not include any executable code or instructions that could lead to unsafe actions.
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
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
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Search sources
Suited agents
Install decision
- Command
- npx skills add danicat/skills --skill double-diamond
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 61/100
- Audit
- 75/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add danicat/skills --skill double-diamondDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- No critical security issues found. The skill is a workflow description and does not include any executable code or instructions that could lead to unsafe actions.
- No OpenAgentSkill engagement data yet
Alternative
Last30days Skill
53.5K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
Academic Research Skills
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
GPT Researcher
28.0K Stars
npx skills add assafelovic/gpt-researcher
Alternative
DeepResearch
19.8K Stars
npx skills add Alibaba-NLP/DeepResearch
Agent safety v2
55/100 · Review before install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Browser automation
Skill may drive a browser or interact with web pages.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- Financial research output is not financial advice; require human review before any live investment decision
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install danicat-double-diamondAgent resolve plan
Let an agent verify fit before installing.
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%20double-diamond%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20double-diamond%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/danicat-double-diamond/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use double-diamond in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20double-diamond%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/danicat-double-diamond/install
Install command: npx skills add danicat/skills --skill double-diamond
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/danicat-double-diamond/install
LLM text format
/api/skills/danicat-double-diamond/install?format=text
Find alternatives
/api/skills/search?q=double-diamond&limit=3
Agent prompt
Use double-diamond for this task. Review https://www.openagentskill.com/api/skills/danicat-double-diamond/install, then install with: npx skills add danicat/skills --skill double-diamondRegistry metadata
Agent-readable profile for automatic skill selection.
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/danicat-double-diamond
LLM text
/api/registry/manifest/danicat-double-diamond?format=text
Install alias
/api/registry/install/danicat-double-diamond
Recommend
/api/registry/recommend?task=Use%20double-diamond%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
Needs review · 75/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for Research agents
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 59/100 quality profile
review first
- Low GitHub adoption signal
- No critical security issues found. The skill is a workflow description and does not include any executable code or instructions that could lead to unsafe actions.
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Research agents task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
FIX16 GitHub stars
Stars/forks activity
FIX16 stars, 3 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSApache-2.0
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- No critical security issues found. The skill is a workflow description and does not include any executable code or instructions that could lead to unsafe actions.
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 16 GitHub stars
- Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Add it to a complete workflow
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
Overview
--- name: double-diamond description: > Universal multi-agent orchestration workflow based on the Double Diamond framework (Inception -> Discovery -> Definition -> Development -> Delivery). Coordinates parallel subagents with context isolation to separate problem-space research from solution-space implementation. Activate for complex, high-ambiguity initiatives across software engineering, in-depth research, long-form writing, legal analysis, or product strategy requiring structured human alignment gates. license: Apache-2.0 metadata: category: agents tags: "orchestration, workflow, research, planning, subagents, agile" author: Daniela Petruzalek (daniela@danicat.dev) version: "0.2.0" catalog: https://skills.danicat.dev ---
# Double-Diamond Multi-Agent Orchestration
The `double-diamond` skill coordinates complex, high-ambiguity initiatives through the proven **Double Diamond** framework, preceded by an **Inception** alignment phase. It leverages **parallel subagents with context isolation** to thoroughly explore the problem space before committing to solution-space implementation.
``` INCEPTION PHASE (Pre-Diamond Alignment) /grill-me User Interview Establish Shared Understanding │ ▼ DIAMOND 1: PROBLEM SPACE DIAMOND 2: SOLUTION SPACE (Research & Exploration) (Creation & Verification)
/--- Discovery (Diverge) ---\ /--- Development (Diverge) ---\ / Parallel `research` sub- \ / Parallel creation sub- \ / agents explore landscape, \ / agents craft disjoint \ Start > constraints & prior art > Brief > sections/modules in parallel > Delivery \ / Gate \ / (Gates) \--- Definition (Converge) --/ \--- Delivery (Converge) ----/ Synthesize findings into Holistic review, integration, a Foundation Document and quality gate verification ```
---
## 🌐 Universal Domain Mapping
Double Diamond adapts seamlessly across technical, creative, and analytical domains:
| Phase | Software Engineering | Writing & Publishing | Legal & Policy Research | Product & Strategy | | :--- | :--- | :--- | :--- | :--- | | **0. Inception** | Stack, constraints, latency, scope | Audience, tone, thesis, length | Jurisdiction, case theory, facts | Market, user persona, success metrics | | **1. Discover** *(Diverge)* | Codebase, APIs, edge cases | Background research, angles, data | Precedents, statutes, case law | Competitor analysis, customer interviews | | **2. Define** *(Converge)* | Technical Specification | Structured Editorial Outline | Legal Brief / Argument Structure | PRD / Feature Specification | | **Steering Gate** | Approve architecture & trade-offs | Approve thesis & outline | Approve legal theory & approach | Sign off on product direction | | **3. Develop** *(Diverge)* | Parallel module implementation | Parallel chapter/section drafting | Parallel argument/motion drafting | Parallel prototype/stream exploration | | **4. Deliver** *(Converge)* | Build, tests, lint, spec compliance | Fact-check, style, voice, flow | Citation audit, counter-arguments | Executive synthesis, launch readiness |
---
## ⚡ Core Principles & Operational Rules
1. **Pre-Diamond Inception (Alignment Gate):** - Before launching research divergence, the Coordinator executes an **Inception** phase via the `/grill-me` interactive interview protocol (using `ask_question`). - The Coordinator explores the existing environment/context first, then interviews the user about goals, constraints, non-negotiables, target audience, and deliverable modality. 2. **Two Distinct Diamond Phases (Problem Space vs. Solution Space):** - **Diamond 1 (Problem Space):** Focuses exclusively on reconnaissance, constraint mapping, dependency analysis, and definition. No final deliverable code or prose is authored during Diamond 1. - **Diamond 2 (Solution Space):** Focuses on parallel creation against the approved definition, followed by rigorous quality gating. 3. **Context Isolation via Subagents:** - Deep exploration and multi-track creation happen in isolated subagent contexts (`research` for read-only exploration, `self` for creation). This prevents context pollution and hallucination in the Coordinator's session. 4. **Mandatory User Steering Gate (Human-in-the-Loop Alignment):** - Between Diamond 1 and Diamond 2, the Coordinator halts to present the synthesized **Foundation Document** (Spec, Outline, Brief, or PRD) and trade-offs to the user for explicit review and confirmation. 5. **Disjoint Work Allocation (Zero Collision):** - In Diamond 2 (Development), parallel creator subagents receive strictly disjoint assignments (e.g., distinct source files, separate article sections, independent legal claims) to prevent overwrite collisions. 6. **Domain-Specific Delivery Quality Gates:** - Work is not delivered until all domain-specific quality gates pass: structural integrity, localized unit/section verification, holistic consistency, and compliance with the approved Foundation Document.
---
## 🎯 Agent Budget & Degree of Parallelism (DOP)
* **Definition**: **Agent Budget** is synonymous with **Degree of Parallelism (DOP)**. It defines the maximum number of **active, concurrent subagents** allowed to execute at the exact same time. * **Active vs. Past Capacity**: Completed or terminated subagents do **not** consume budget. The budget applies strictly to currently running subagents. When a subagent completes its work, its concurrency slot is immediately freed. * **Elastic Scaling**: While the baseline default is $\text{DOP} = 4$, the framework scales elastically to any user-requested budget (e.g., $\text{DOP} = 10, 20, 50+$) for massive parallel surveys, parameter sweeps, or multi-module initiatives. * **High-DOP High-Signal Mandate (Micro-Probe Rule)**: When operating with elevated concurrency ($\text{DOP} \ge 8$), subagents must act as focused micro-probes. The Coordinator instructs subagents to return dense, high-signal, structured summaries ($\le 150$ words or tabular format) rather than verbose essays, enabling clean Map-Reduce synthesis without context dilution.
### Recommended Baseline Sizing:
| Initiative Scale | Agent Budget ($\text{DOP}$) | Active Discovery Workers | Active Creation Workers | Typical Scope | | :--- | :---: | :---: | :---: | :--- | | **Focused / Targeted** | **2** | **2** (Landscape + Standards) | **2** (Core + Surface) | Single module, short article, targeted feature | | **Standard (Default)** | **4** | **4** (Landscape, Standards, Edge Cases, Comparative) | **4** (WPs 1–4 disjoint modules/sections) | Multi-module service, comprehensive whitepaper, PRD | | **Complex / Deep** | **6–8+** | **6–8+** (Subsystem reconnaissance / micro-probes) | **6–8+** (Distributed package authors) | Full architectural rewrite, multi-chapter publication | | **Massive Swarm** | **20–50+** | **20–50+** (Broad API surveys, micro-benchmarks, fuzzing) | **20–50+** (Massive parallel module/asset generation) | Wide ecosystem sweeps, multi-file migrations |
---
## 📡 Non-Blocking Coordinator & Reactive Concurrency
The Coordinator is the primary conversational interface and strategic conductor. It must remain **permanently unblocked** to respond to user messages at any point during execution.
1. **Role Separation (Delegation over Execution):** - The Coordinator orchestrates, synthesizes, and interfaces with the user. It **never** blocks itself with long, sequential manual execution—heavy exploration and drafting are delegated to subagents. 2. **Fire-and-Yield Concurrency:** - When the Coordinator spawns subagents via `invoke_subagent`, it **immediately halts tool calls to end its turn**. It never loops, sleeps, or polls. 3. **Always Unblocked for User Queries:** - Because the Coordinator never enters busy-wait polling loops, it is always available to process incoming user messages while subagents work in the background: - **Status Inquiries**: The Coordinator can immediately provide progress updates or inspect active workers via `manage_subagents (Action="list")`. - **In-Flight Steering / Scope Changes**: If the user provides new constraints or changes requirements mid-run, the Coordinator can steer active subagents via `send_message` or cancel/restart them via `manage_subagents (Action="kill")`. 4. **Automatic Reactive Wakeup:** - When subagents finish their tasks, the messaging platform automatically wakes up the Coordinator with their full results.
---
## 🧭 The 6-Step Double-Diamond Workflow
### 1. Step 0: Inception (Pre-Diamond Alignment) * Coordinator activates the `/grill-me` protocol, systematically interviewing the user one decision node at a time via `ask_question`. * Explores existing materials first, then clarifies scope boundaries, deliverable modality, non-negotiables, and user preferences. * **Reference Guide:** Read [`references/inception_phase.md`](references/inception_phase.md) for interview patterns and decision-tree traversal.
### 2. Step 1: Discover (Diamond 1 Divergence) * Coordinator decomposes the problem space into up to $\text{DOP}$ orthogonal exploration vectors (e.g., Landscape reconnaissance, Standards & APIs, Constraints & Failure modes, Prior art). * Spawns parallel `research` subagents using `invoke_subagent` and immediately yields execution. * **Reference Guide:** Read [`references/research_phase.md`](references/research_phase.md) for vector decomposition and prompt templates.
### 3. Step 2: Define (Diamond 1 Convergence) * Coordinator synthesizes research reports into a unified **Foundation Document** (Technical Specification, Editorial Outline, Legal Brief, or PRD). * Establishes system contracts, interfaces, chapter structure, or argument trees, alongside disjoint work package allocations. * **Document Template:** Populate [`assets/specification_template.md`](assets/specification_template.md) with research synthesis and work breakdowns.
### 4. Step 3: User Steering Gate (Interactive Alignment) * Coordinator presents the executive summary, draft Foundation Document, and architectural/editorial trade-offs to the user. * Solicits user feedback, resolves decision forks, and obtains explicit confirmation before proceeding to creation.
### 5. Step 4: Develop (Diamond 2 Divergence) * Coordinator spawns up to $\text{DOP}$ parallel creator subagents (`self` subagents with write & tool access) and immediately yields execution. * Each creator receives a strictly disjoint Work Package (WP) and executes localized verification: - **Software**: Package-scoped unit tests (`go test ./internal/pkg/...`, `pytest tests/unit/`, `npm test -- src/pkg/`). - **Writing**: Section drafting against word count, tone, and source citations. - **Legal/Policy**: Argument drafting with case citations and statutory cross-referencing. * **Reference Guide:** Read [`references/development_phase.md`](references/development_phase.md) for disjoint allocation and creator prompt templates.
### 6. Step 5: Deliver (Diamond 2 Convergence & Quality Gating) * Coordinator integrates all parallel deliverables into a coherent whole and executes end-to-end verification. * **Failure Recovery Protocol**: If any integration test, fact-check, or consistency check fails: 1. Isolate the failing component and review specific error traces or discrepancies. 2. Launch a targeted repair subagent with the exact context and interface contract. 3. Re-verify all delivery gates until 100% pass before presenting the final deliverable to the user.
---
## ⚠️ Common Gotchas & Antipatterns
1. **Skipping Inception & As
Technical details
- Version
- 1.0.0
- License
- Apache-2.0
- Last updated
- Aug 24, 2026
- Published
- Aug 24, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 78/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
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
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for double-diamond, ready for a manual X post.
double-diamond: Universal multi-agent orchestration workflow based on the Double Diamond framework (Inception... 16 stars https://www.openagentskill.com/skills/danicat-double-diamond?ref=x
Optional reply with install command
Listing + install path for double-diamond: https://www.openagentskill.com/skills/danicat-double-diamond?ref=x Install: npx skills add danicat/skills --skill double-diamond
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- danicat
- Source
- danicat/skills
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to danicat 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
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/danicat-double-diamond)
[](https://www.openagentskill.com/skills/danicat-double-diamond)
[](https://www.openagentskill.com/skills/danicat-double-diamond/audit)
[](https://www.openagentskill.com/skills/danicat-double-diamond)Author
danicat
@danicat
Tags
Platform fit
Health signals
- GitHub stars
- 16
- Quality score
- 32/100
- Last GitHub push
- Aug 23, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Sandbox only
- GitHub adoption16 GitHub starsFIX
- Stars/forks activity16 stars, 3 forks; issue activity unavailable in current metadataFIX
- Recent maintenancePushed todayPASS
- License clarityApache-2.0PASS
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
- Dependency/runtime risknetwork or browser surfacePASS
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