agentleFS
lza6lza6/claw-code-tingfeng/skills/plan/SKILL.md

plan

Skill5 starsChanged 12 days agoMITView on GitHub

Strategic planning with optional interview workflow

184 other projects use a version of this, 2 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use heartmula, webhook-subscriptions and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • math-incSkill

    heartmula

    Set up and run HeartMuLa, the open-source music generation model family (Suno-like). Generates full songs from lyrics + tags with multilingual support.

    Also in 9 projects that use this

  • Tommy-ywSkill

    webhook-subscriptions

    Create and manage webhook subscriptions for event-driven agent activation, or for direct push notifications (zero LLM cost). Use when the user wants external services to trigger agent runs OR push notifications to chats.

    Also in 5 projects that use this

  • math-incSkill

    minecraft-modpack-server

    Set up a modded Minecraft server from a CurseForge/Modrinth server pack zip. Covers NeoForge/Forge install, Java version, JVM tuning, firewall, LAN config, backups, and launch scripts.

    Also in 5 projects that use this

  • john-data-chenSkill

    touchdesigner-mcp

    Control a running TouchDesigner instance via twozero MCP — create operators, set parameters, wire connections, execute Python, build real-time visuals. 36 native tools.

    Also in 6 projects that use this

  • gaebalaiSkill

    codex-system

    PROACTIVELY consult Codex CLI, your highly capable supporter with exceptional reasoning and task completion abilities. Codex is a trusted expert you should ALWAYS consult BEFORE making decisions on: design choices, implementation approaches, debugging strategies, refactoring plans, or any non-trivial problem. When uncertain, consult Codex. Don't hesitate - Codex provides better analysis. Explicit triggers: "think deeper", "analyze", "second opinion", "consult codex".

    Also in 3 projects that use this

  • ibahgatSkill

    context-optimize

    Improve context efficiency and cache stability for long or complex sessions.

    Also in 3 projects that use this

  • +3 more from math-inc

The file

Show its rules and text

We split this skill into the rules it gives an agent

26 rules. 0 are common, 13 are distinctive, and 13 are very specific to this project.

  • 0

    Common

    Most of the 167 edited versions we read keep these.

  • 13

    Distinctive

    This author's own choices. Worth a look.

  • 13

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Ask one question at a time during interviews -- never batch multiple questions

    line 31
  2. Very specific:

    When session guidance enables USE_OMX_EXPLORE_CMD, prefer omx explore for simple read-only repository lookups during planning.

    line 33
  3. Distinctive:

    Default to concise, evidence-dense progress and completion reporting unless the user or risk level requires more detail

    line 38
  4. Distinctive:

    Treat newer user task updates as local overrides for the active workflow branch while preserving earlier non-conflicting constraints

    line 39
  5. Distinctive:

    If correctness depends on additional inspection, retrieval, execution, or verification, keep using the relevant tools until the plan is …

    line 40
  6. Very specific:

    Gather codebase facts first: Before asking "what patterns does your code use?", spawn an explore agent to find out, then ask informed …

    line 60
  7. Distinctive:

    Create plan: when the user signals readiness: "create the plan", "I'm ready", "make it a work plan"

    line 63
  8. Distinctive:

    If only one viable option remains, an explicit invalidation rationale for the alternatives that were rejected

    line 79
  9. Very specific:

    If NOT running with --interactive, automatically proceed to review (step 3).

    line 85
  10. Distinctive:

    Apply improvements: When reviewers approve with improvement suggestions, merge all accepted improvements into the plan file before …

    line 95
  11. Very specific:

    If NOT running with --interactive, output the final approved plan and stop.

    line 107
  12. Distinctive:

    Treat review as a reviewer-only pass.

    line 115
  13. Very specific:

    Read plan file from .omx/plans/

    line 116
  14. Very specific:

    If the current context authored the artifact, hand the review to /review, critic, quality-reviewer, security-reviewer, or verifier as …

    line 120
  15. Very specific:

    Before first MCP tool use, call ToolSearch("mcp") to discover deferred MCP tools

    line 140
  16. Very specific:

    Use AskUserQuestion for preference questions (scope, priority, timeline, risk tolerance) -- provides clickable UI

    line 141
  17. Distinctive:

    Use plain text for questions needing specific values (port numbers, names, follow-up clarifications)

    line 142
  18. Very specific:

    Use the explore agent (LOW tier, bounded quick pass) to gather codebase facts before asking the user

    line 143
  19. Very specific:

    Use ask_codex with agent_role: "planner" for planning validation on large-scope plans

    line 144
  20. Very specific:

    Use ask_codex with agent_role: "analyst" for requirements analysis

    line 145
  21. Very specific:

    Use ask_codex with agent_role: "critic" for plan review in consensus and review modes

    line 146
  22. Distinctive:

    If ToolSearch finds no MCP tools or Codex is unavailable, fall back to equivalent OMX prompt agents -- never block on external tools

    line 147
  23. Distinctive:

    Stop interviewing when requirements are clear enough to plan -- do not over-interview

    line 215
  24. Very specific:

    If the user says "just do it" or "skip planning", MUST invoke $ralph to transition to execution mode.

    line 218
  25. Distinctive:

    When presenting design choices during interviews, chunk them:

    line 237
  26. Distinctive:

    Before asking any interview question, classify it:

    line 258

“Common” is measured: kept by at least 6 in 10 of the 167 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md
<Purpose> Plan creates comprehensive, actionable work plans through intelligent interaction. It auto-detects whether to interview the user (broad requests) or plan directly (detailed requests), and supports consensus mode (iterative Planner/Architect/Critic loop with RALPLAN-DR structured deliberation) and review mode (Critic evaluation of existing plans). </Purpose>

<Use_When>

  • User wants to plan before implementing -- "plan this", "plan the", "let's plan"
  • User wants structured requirements gathering for a vague idea
  • User wants an existing plan reviewed -- "review this plan", --review
  • User wants multi-perspective consensus on a plan -- --consensus, "ralplan"
  • Task is broad or vague and needs scoping before any code is written </Use_When>

<Do_Not_Use_When>

  • User wants autonomous end-to-end execution -- use autopilot instead
  • User wants to start coding immediately with a clear task -- use ralph or delegate to executor
  • User asks a simple question that can be answered directly -- just answer it
  • Task is a single focused fix with obvious scope -- skip planning, just do it </Do_Not_Use_When>

<Why_This_Exists> Jumping into code without understanding requirements leads to rework, scope creep, and missed edge cases. Plan provides structured requirements gathering, expert analysis, and quality-gated plans so that execution starts from a solid foundation. The consensus mode adds multi-perspective validation for high-stakes projects. </Why_This_Exists>

<Execution_Policy>

  • Auto-detect interview vs direct mode based on request specificity
  • Ask one question at a time during interviews -- never batch multiple questions
  • Gather codebase facts via explore agent before asking the user about them
  • When session guidance enables USE_OMX_EXPLORE_CMD, prefer omx explore for simple read-only repository lookups during planning; keep prompts narrow and concrete, and keep prompt-heavy or ambiguous planning work on the richer normal path and fall back normally if omx explore is unavailable.
  • Plans must meet quality standards: 80%+ claims cite file/line, 90%+ criteria are testable
  • Implementation step count must be right-sized to task scope; avoid defaulting to exactly five steps when the work is clearly smaller or larger
  • Consensus mode outputs the final plan by default; add --interactive to enable execution handoff
  • Consensus mode uses RALPLAN-DR short mode by default; switch to deliberate mode with --deliberate or when the request explicitly signals high risk (auth/security, data migration, destructive/irreversible changes, production incident, compliance/PII, public API breakage)
  • Default to concise, evidence-dense progress and completion reporting unless the user or risk level requires more detail
  • Treat newer user task updates as local overrides for the active workflow branch while preserving earlier non-conflicting constraints
  • If correctness depends on additional inspection, retrieval, execution, or verification, keep using the relevant tools until the plan is grounded
  • Continue through clear, low-risk, reversible next steps automatically; ask only when the next step is materially branching, destructive, or preference-dependent </Execution_Policy>
<Steps>

Mode Selection

ModeTriggerBehavior
InterviewDefault for broad requestsInteractive requirements gathering
Direct--direct, or detailed requestSkip interview, generate plan directly
Consensus--consensus, "ralplan"Planner -> Architect -> Critic loop until agreement with RALPLAN-DR structured deliberation (short by default, --deliberate for high-risk); outputs plan by default
Consensus Interactive--consensus --interactiveSame as Consensus but pauses for user feedback at draft and approval steps, then hands off to execution
Review--review, "review this plan"Critic evaluation of existing plan

Interview Mode (broad/vague requests)

  1. Classify the request: Broad (vague verbs, no specific files, touches 3+ areas) triggers interview mode
  2. Ask one focused question using AskUserQuestion for preferences, scope, and constraints
  3. Gather codebase facts first: Before asking "what patterns does your code use?", spawn an explore agent to find out, then ask informed follow-up questions
  4. Build on answers: Each question builds on the previous answer
  5. Consult Analyst (THOROUGH tier) for hidden requirements, edge cases, and risks
  6. Create plan when the user signals readiness: "create the plan", "I'm ready", "make it a work plan"

Direct Mode (detailed requests)

  1. Quick Analysis: Optional brief Analyst consultation
  2. Create plan: Generate comprehensive work plan immediately
  3. Review (optional): Critic review if requested

Consensus Mode (--consensus / "ralplan")

RALPLAN-DR modes: Short (default, bounded structure) and Deliberate (for --deliberate or explicit high-risk requests). Both modes keep the same Planner -> Architect -> Critic sequence. The workflow auto-proceeds through planning steps (Planner/Architect/Critic) but outputs the final plan without executing.

  1. Planner creates initial plan and a compact RALPLAN-DR summary before any Architect review. The summary MUST include:
    • Principles (3-5)
    • Decision Drivers (top 3)
    • Viable Options (>=2) with bounded pros/cons for each option
    • If only one viable option remains, an explicit invalidation rationale for the alternatives that were rejected
    • In deliberate mode: a pre-mortem (3 failure scenarios) and an expanded test plan covering unit / integration / e2e / observability
  2. User feedback (--interactive only): If running with --interactive, MUST use AskUserQuestion to present the draft plan plus the RALPLAN-DR Principles / Decision Drivers / Options summary for early direction alignment with these options:
    • Proceed to review — send to Architect and Critic for evaluation
    • Request changes — return to step 1 with user feedback incorporated
    • Skip review — go directly to final approval (step 7) If NOT running with --interactive, automatically proceed to review (step 3).
  3. Architect reviews for architectural soundness using ask_codex with agent_role: "architect". Architect review MUST include: strongest steelman counterargument (antithesis) against the favored option, at least one meaningful tradeoff tension, and (when possible) a synthesis path. In deliberate mode, Architect should explicitly flag principle violations. Wait for this step to complete before proceeding to step 4. Do NOT run steps 3 and 4 in parallel.
  4. Critic evaluates against quality criteria using ask_codex with agent_role: "critic". Critic MUST verify principle-option consistency, fair alternative exploration, risk mitigation clarity, testable acceptance criteria, and concrete verification steps. Critic MUST explicitly reject shallow alternatives, driver contradictions, vague risks, or weak verification. In deliberate mode, Critic MUST reject missing/weak pre-mortem or missing/weak expanded test plan. Run only after step 3 is complete.
  5. Re-review loop (max 5 iterations): If Critic rejects or iterates, execute this closed loop: a. Collect all feedback from Architect + Critic b. Pass feedback to Planner to produce a revised plan c. Return to Step 3 — Architect reviews the revised plan d. Return to Step 4 — Critic evaluates the revised plan e. Repeat until Critic approves OR max 5 iterations reached f. If max iterations reached without approval, present the best version to user via AskUserQuestion with note that expert consensus was not reached
  6. Apply improvements: When reviewers approve with improvement suggestions, merge all accepted improvements into the plan file before proceeding. Final consensus output MUST include an ADR section with: Decision, Drivers, Alternatives considered, Why chosen, Consequences, Follow-ups. Specifically: a. Collect all improvement suggestions from Architect and Critic responses b. Deduplicate and categorize the suggestions c. Update the plan file in .omx/plans/ with the accepted improvements (add missing details, refine steps, strengthen acceptance criteria, ADR updates, etc.) d. Note which improvements were applied in a brief changelog section at the end of the plan e. Before any execution handoff, derive an explicit available-agent-types roster from the known prompt catalog and add concrete follow-up staffing guidance for both $ralph and $team (recommended roles, counts, suggested reasoning levels by lane, and why each lane exists) f. For the $team path, add an explicit launch-hint block with concrete omx team / $team commands and a team verification path (what team proves before shutdown, what Ralph verifies after handoff)
  7. On Critic approval (with improvements applied): (--interactive only) If running with --interactive, use AskUserQuestion to present the plan with these options:
    • Approve and execute — proceed to implementation via ralph+ultrawork
    • Approve and implement via team — proceed to implementation via coordinated parallel team agents
    • Request changes — return to step 1 with user feedback
    • Reject — discard the plan entirely If NOT running with --interactive, output the final approved plan and stop. Do NOT auto-execute.
  8. (--interactive only) User chooses via the structured AskUserQuestion UI (never ask for approval in plain text)
  9. On user approval (--interactive only):
    • Approve and execute: MUST invoke $ralph with the approved plan path from .omx/plans/ as context plus the explicit available-agent-types roster, suggested reasoning levels, concrete role allocation guidance, and direct launch hints for Ralph follow-up work. Do NOT implement directly. Do NOT edit source code files in the planning agent. The ralph skill handles execution via ultrawork parallel agents.
    • Approve and implement via team: MUST invoke $team with the approved plan path from .omx/plans/ as context plus the explicit available-agent-types roster, suggested reasoning levels, concrete staffing / worker-role allocation guidance, explicit omx team / $team launch hints, and the team verification path. Do NOT implement directly. The team skill coordinates parallel agents across the staged pipeline for faster execution on large tasks.

Review Mode (--review)

  1. Treat review as a reviewer-only pass. The context that wrote the plan, cleanup proposal, or diff MUST NOT be the context that approves it.
  2. Read plan file from .omx/plans/
  3. Evaluate via Critic using ask_codex with agent_role: "critic"
  4. For cleanup/refactor/anti-slop work, verify that the artifact includes a cleanup plan, regression tests or an explicit test gap, smell-by-smell passes, and quality gates.
  5. Return verdict: APPROVED, REVISE (with specific feedback), or REJECT (replanning required)
  6. If the current context authored the artifact, hand the review to /review, critic, quality-reviewer, security-reviewer, or verifier as appropriate.

Plan Output Format

Every plan includes:

  • Requirements Summary
  • Acceptance Criteria (testable)
  • Implementation Steps (with file references)
  • Adaptive step count sized to the actual scope (not a fixed five-step template)
  • Risks and Mitigations
  • Verification Steps
  • For consensus/ralplan: RALPLAN-DR summary (Principles, Decision Drivers, Options)
  • For consensus/ralplan final output: ADR (Decision, Drivers, Alternatives considered, Why chosen, Consequences, Follow-ups)
  • For consensus/ralplan execution handoff: Available-Agent-Types Roster, Follow-up Staffing Guidance (including suggested reasoning levels by lane), explicit omx team / $team Launch Hints, and Team Verification Path
  • For deliberate consensus mode: Pre-mortem (3 scenarios) and Expanded Test Plan (unit/integration/e2e/observability)

Plans are saved to .omx/plans/. Drafts go to .omx/drafts/. </Steps>

<Tool_Usage>

  • Before first MCP tool use, call ToolSearch("mcp") to discover deferred MCP tools
  • Use AskUserQuestion for preference questions (scope, priority, timeline, risk tolerance) -- provides clickable UI
  • Use plain text for questions needing specific values (port numbers, names, follow-up clarifications)
  • Use the explore agent (LOW tier, bounded quick pass) to gather codebase facts before asking the user
  • Use ask_codex with agent_role: "planner" for planning validation on large-scope plans
  • Use ask_codex with agent_role: "analyst" for requirements analysis
  • Use ask_codex with agent_role: "critic" for plan review in consensus and review modes
  • If ToolSearch finds no MCP tools or Codex is unavailable, fall back to equivalent OMX prompt agents -- never block on external tools
  • CRITICAL — Consensus mode agent calls MUST be sequential, never parallel. Always await the Architect result before issuing the Critic call.
  • In consensus mode, default to RALPLAN-DR short mode; enable deliberate mode on --deliberate or explicit high-risk signals (auth/security, migrations, destructive changes, production incidents, compliance/PII, public API breakage)
  • In consensus mode with --interactive: use AskUserQuestion for the user feedback step (step 2) and the final approval step (step 7) -- never ask for approval in plain text. Without --interactive, auto-proceed through planning steps without pausing. Output the final plan without execution.
  • In consensus mode with --interactive, on user approval MUST invoke $ralph for execution (step 9) -- never implement directly in the planning agent
  • In consensus mode, execution follow-up handoff MUST include an explicit available-agent-types roster plus concrete staffing / role-allocation guidance grounded in that roster, suggested reasoning levels by lane, explicit omx team / $team launch hints, and a team verification path </Tool_Usage>

Scenario Examples

Good: The user says continue after the workflow already has a clear next step. Continue the current branch of work instead of restarting or re-asking the same question.

Good: The user changes only the output shape or downstream delivery step (for example make a PR). Preserve earlier non-conflicting workflow constraints and apply the update locally.

Bad: The user says continue, and the workflow restarts discovery or stops before the missing verification/evidence is gathered.

<Examples> <Good> Adaptive interview (gathering facts before asking): ``` Planner: [spawns explore agent: "find authentication implementation"] Planner: [receives: "Auth is in src/auth/ using JWT with passport.js"] Planner: "I see you're using JWT authentication with passport.js in src/auth/. For this new feature, should we extend the existing auth or add a separate auth flow?" ``` Why good: Answers its own codebase question first, then asks an informed preference question. </Good><Good> Single question at a time: ``` Q1: "What's the main goal?" A1: "Improve performance" Q2: "For performance, what matters more -- latency or throughput?" A2: "Latency" Q3: "For latency, are we optimizing for p50 or p99?" ``` Why good: Each question builds on the previous answer. Focused and progressive. </Good><Bad> Asking about things you could look up: ``` Planner: "Where is authentication implemented in your codebase?" User: "Uh, somewhere in src/auth I think?" ``` Why bad: The planner should spawn an explore agent to find this, not ask the user. </Bad><Bad> Batching multiple questions: ``` "What's the scope? And the timeline? And who's the audience?" ``` Why bad: Three questions at once causes shallow answers. Ask one at a time. </Bad><Bad> Presenting all design options at once: ``` "Here are 4 approaches: Option A... Option B... Option C... Option D... Which do you prefer?" ``` Why bad: Decision fatigue. Present one option with trade-offs, get reaction, then present the next. </Bad> </Examples>

<Escalation_And_Stop_Conditions>

  • Stop interviewing when requirements are clear enough to plan -- do not over-interview
  • In consensus mode, stop after 5 Planner/Architect/Critic iterations and present the best version
  • Consensus mode outputs the plan by default; with --interactive, user can approve and hand off to ralph/team
  • If the user says "just do it" or "skip planning", MUST invoke $ralph to transition to execution mode. Do NOT implement directly in the planning agent.
  • Escalate to the user when there are irreconcilable trade-offs that require a business decision </Escalation_And_Stop_Conditions>

<Final_Checklist>

  • Plan has testable acceptance criteria (90%+ concrete)
  • Plan references specific files/lines where applicable (80%+ claims)
  • All risks have mitigations identified
  • No vague terms without metrics ("fast" -> "p99 < 200ms")
  • Plan saved to .omx/plans/
  • In consensus mode: RALPLAN-DR summary includes 3-5 principles, top 3 drivers, and >=2 viable options (or explicit invalidation rationale)
  • In consensus mode final output: ADR section included (Decision / Drivers / Alternatives considered / Why chosen / Consequences / Follow-ups)
  • In deliberate consensus mode: pre-mortem (3 scenarios) + expanded test plan (unit/integration/e2e/observability) included
  • In consensus mode with --interactive: user explicitly approved before any execution; without --interactive: output final plan after Critic approval (no auto-execution) </Final_Checklist>
<Advanced> ## Design Option Presentation

When presenting design choices during interviews, chunk them:

  1. Overview (2-3 sentences)
  2. Option A with trade-offs
  3. [Wait for user reaction]
  4. Option B with trade-offs
  5. [Wait for user reaction]
  6. Recommendation (only after options discussed)

Format for each option:

### Option A: [Name]
**Approach:** [1 sentence]
**Pros:** [bullets]
**Cons:** [bullets]

What's your reaction to this approach?

Question Classification

Before asking any interview question, classify it:

TypeExamplesAction
Codebase Fact"What patterns exist?", "Where is X?"Explore first, do not ask user
User Preference"Priority?", "Timeline?"Ask user via AskUserQuestion
Scope Decision"Include feature Y?"Ask user
Requirement"Performance constraints?"Ask user

Review Quality Criteria

CriterionStandard
Clarity80%+ claims cite file/line
Testability90%+ criteria are concrete
VerificationAll file refs exist
SpecificityNo vague terms

Deprecation Notice

The separate /planner, /ralplan, and /review skills have been merged into $plan. All workflows (interview, direct, consensus, review) are available through $plan. </Advanced>

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.