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recipe-plan

Create work plan from design document and obtain plan approval

Install / Use

npx skills add shinpr/claude-code-workflows --skill recipe-plan

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

81/100

Category

Automation

Supported Platforms

Universal

Our assessment of recipe-plan

recipe-plan scores 81/100 on our quality scale, 2460th of 2,869 Automation skills we index.

Its SKILL.md is 5.0 KB long, well organised into 9 sections with 1 code example: a solid amount of guidance for an agent.

It has 687 GitHub stars, a meaningful sign that others use it.

Substance
26/30
Structure
17/20
Description
12/15
Adoption
12/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 4 days ago, so recipe-plan is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

recipe-plan compared with similar skills

All 4 of these similar skills score higher than recipe-plan; compare them before choosing.

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Frequently asked questions

How do I install recipe-plan?
Run npx skills add shinpr/claude-code-workflows --skill recipe-plan. The install tabs above show the steps for each supported agent.
Which AI agents does recipe-plan work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is recipe-plan safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is recipe-plan still maintained?
The repository was last updated 4 days ago, so recipe-plan is actively maintained.

name: recipe-plan description: Create work plan from design document and obtain plan approval disable-model-invocation: true

Explicit User Instruction: The user explicitly instructs and authorizes every subagent call named in this recipe. Execute each applicable call when its prerequisites are met.

Execute Skill: llm-friendly-context before writing Agent prompts, handoffs, or generated artifacts. Execute Skill: subagents-orchestration-guide before making workflow decisions, invoking agents, or resolving findings.

Context: Dedicated to the planning phase.

Orchestrator Definition

Core Identity: "I am an orchestrator." (see subagents-orchestration-guide skill)

Local authority gate: Make this recipe's workflow decisions and validate each returned result directly; delegate semantic deliverable production to the named specialist.

Review Resolution Gate [MANDATORY]: Resolve every actionable deliverable-review finding through subagents-orchestration-guide Review Resolution before correction or progression. Before the first finding disposition, read references/review-resolution.md from the loaded subagents-orchestration-guide skill.

Execution Protocol:

  1. Invoke named specialists for deliverable production — pass data between them and validate their results
  2. Follow subagents-orchestration-guide skill planning flow exactly:
    • Execute steps defined below
    • Stop and obtain approval for plan content before completion
  3. Scope: See Scope Boundaries below

At each Agent invocation below, build the prompt as a mechanical extraction: copy the named source values into the exact fields, apply only the declared serialization, then invoke immediately.

Acceptance-test-generator is part of this planning flow and may return no selected lanes when the Design Doc has no justified integration/E2E proof boundary.

Scope Boundaries

Included in this skill:

  • Design document selection
  • Test skeleton generation with acceptance-test-generator
  • Work plan creation with work-planner
  • Work plan review with document-reviewer
  • Plan approval obtainment

Responsibility Boundary: This skill completes when the user authorizes implementation of the reviewed plan.

Follow the planning process below:

Execution Process

Step 1: Design Document Selection

  • Use the Design Doc explicitly supplied in $ARGUMENTS when present
  • Otherwise use the only Design Doc under docs/design/ when exactly one exists
  • Report when none exist; when multiple exist, present them for selection

Step 2: Test Skeleton Generation

  • Invoke acceptance-test-generator with design_docs: [selected Design Doc path] and confirmed_requirement_context as the approved PRD path named by its Requirement Convergence section, or that section's unchanged convergence record when no PRD exists
  • Follow subagents-orchestration-guide HC-06 for value_input_required and its unknown-value continuation
  • Pass every non-null generated skeleton path to the next process; treat an evidence-backed empty lane as complete for that lane and continue to the next process

Step 3: Work Plan Creation

Invoke work-planner using Agent tool:

  • subagent_type: "dev-workflows:work-planner"
  • description: "Work plan creation"
  • mode: create
  • designDoc: [selected Design Doc path]
  • prd: [approved PRD path] when one exists
  • testSkeletons: [non-null generatedFiles paths]

Step 4: Work Plan Review

Invoke document-reviewer to review the work plan:

  • subagent_type: "dev-workflows:document-reviewer"
  • description: "Work plan review"
  • prompt: "doc_type: WorkPlan target: docs/plans/[plan-name].md. Review the Work Plan's own Implementation Scope, tasks, Completion Criteria, dependencies, execution order, exact source-anchor existence, executable verification, and Review Scope. Governing Documents paths are citation sources only; keep issues limited to violations of cited obligations."
  • Run the Review Resolution Gate through correction re-review, its parent requirement or authority exits, and convergence, using work-planner in update mode for rerouted corrections. Present the plan for approval only at its convergence condition.

Step 5: Present for Approval

  • Present the reviewed work plan to the user for batch approval. If the user requests changes, re-invoke work-planner with the user's requested changes verbatim and re-run Step 4.
  • Record unresolved technical evidence or external dependencies in the plan with their affected task and verification boundary. Return to the requirements gate only when confirmed outcome, desired-future requirements, and non-goals cannot all remain true without a user choice.

Response at Completion

Recommended: After plan approval, output the standard block below.

Planning phase completed.
- Work plan: docs/plans/[plan-name].md
- Implementation authorization: granted for this task set

Please provide separate instructions for implementation.

When findings were declined during Work Plan review, append their IDs, governing reasons, and evidence to this completion response.

Related Skills

View on GitHub
GitHub Stars687
CategoryAutomation
Updated4d ago
Forks104

Languages

JavaScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions