double-diamond

REVIEW · 61
Registry indexed

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

Verified installs0
Stars16
Version1.0.0
Quality59/100 · Promising
Trust61/100 · Sandbox only
Audit75/100 · Needs review

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

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

ResearchResearch agentsagent-skill

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

Promising
59

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
61

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
75

A 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.

CodexClaude CodeCursorOpenAgentSkill CLI

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.

Open JSON

Suited tasks

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Search sources

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

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-diamond

Do 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

Agent safety v2

55/100 · Review before install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

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.

skill install

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-diamond

Agent 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 text plan

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.

Open install API

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-diamond

Registry 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.

Open manifest

Agent fit

58/100

Research agents

Platforms

Claude Code

Audit report

Needs review · 75/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Research agents

Prototype with this skill first; keep a fallback candidate ready.

58
Readiness
Prototype
Stage

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

  1. 1Install it in a sandbox agent and run one Research agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 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.

61
OpenAgentSkill Trust Score

GitHub adoption

FIX

16 GitHub stars

Stars/forks activity

FIX

16 stars, 3 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

Pushed today

License clarity

PASS

Apache-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.

59
GitHub stars
16
Freshness
Today
Install ready
Yes
License
Apache-2.0
Review before install: 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.

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

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

58
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

75
Needs review
Security
78/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
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

X

Scenario-led draft for double-diamond, ready for a manual X post.

Curator note
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
Open X draft
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

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
danicat
Indexed by
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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/danicat-double-diamond?metric=listed&label=Listed)](https://www.openagentskill.com/skills/danicat-double-diamond)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/danicat-double-diamond?metric=trust&label=Trust)](https://www.openagentskill.com/skills/danicat-double-diamond)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/danicat-double-diamond?metric=audit&label=Audit)](https://www.openagentskill.com/skills/danicat-double-diamond/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/danicat-double-diamond?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/danicat-double-diamond)

Author

D

danicat

@danicat

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

61
  • 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