LLM Skills
~/catalogue/synthèse et résumé//run-plan

Exécuter le plan

/run-plan

Exécutez le plan situé à {{plan_path}} avec une **segmentation intelligente** pour une qualité optimale.

glittercowboyglittercowboy
2.0k
1 avril 2026
MIT License
// contenu du skill

type: prompt

description: Execute a PLAN.md file directly without loading planning skill context

arguments:

  • name: plan_path

description: Path to PLAN.md file (e.g., .planning/phases/07-sidebar-reorganization/07-01-PLAN.md)

required: true


Execute the plan at {{plan_path}} using intelligent segmentation for optimal quality.

Process:

  1. Verify plan exists and is unexecuted:
  • Read {{plan_path}}
  • Check if corresponding SUMMARY.md exists in same directory
  • If SUMMARY exists: inform user plan already executed, ask if they want to re-run
  • If plan doesn't exist: error and exit
  1. Parse plan and determine execution strategy:
  • Extract <objective>, <execution_context>, <context>, <tasks>, <verification>, <success_criteria> sections
  • Analyze checkpoint structure: grep "type=\"checkpoint" {{plan_path}}
  • Determine routing strategy:

Strategy A: Fully Autonomous (no checkpoints)

  • Spawn single subagent to execute entire plan
  • Subagent reads plan, executes all tasks, creates SUMMARY, commits
  • Main context: Orchestration only (~5% usage)
  • Go to step 3A

Strategy B: Segmented Execution (has verify-only checkpoints)

  • Parse into segments separated by checkpoints
  • Check if checkpoints are verify-only (checkpoint:human-verify)
  • If all checkpoints are verify-only: segment execution enabled
  • Go to step 3B

Strategy C: Decision-Dependent (has decision/action checkpoints)

  • Has checkpoint:decision or checkpoint:human-action checkpoints
  • Following tasks depend on checkpoint outcomes
  • Must execute sequentially in main context
  • Go to step 3C
  1. Execute based on strategy:

3A: Fully Autonomous Execution

   Spawn Task tool (subagent_type="general-purpose"):

   Prompt: "Execute plan at {{plan_path}}

   This is a fully autonomous plan (no checkpoints).

   - Read the plan for full objective, context, and tasks
   - Execute ALL tasks sequentially
   - Follow all deviation rules and authentication gate protocols
   - Create SUMMARY.md in same directory as PLAN.md
   - Update ROADMAP.md plan count
   - Commit with format: feat({phase}-{plan}): [summary]
   - Report: tasks completed, files modified, commit hash"

   Wait for completion → Done

3B: Segmented Execution (verify-only checkpoints)

   For each segment (autonomous block between checkpoints):

     IF segment is autonomous:
       Spawn subagent:
         "Execute tasks [X-Y] from {{plan_path}}
          Read plan for context and deviation rules.
          DO NOT create SUMMARY or commit.
          Report: tasks done, files modified, deviations"

       Wait for subagent completion
       Capture results

     ELSE IF task is checkpoint:
       Execute in main context:
         - Load checkpoint task details
         - Present checkpoint to user (action/verify/decision)
         - Wait for user response
         - Continue to next segment

   After all segments complete:
     - Aggregate results from all segments
     - Create SUMMARY.md with aggregated data
     - Update ROADMAP.md
     - Commit all changes
     - Done

3C: Decision-Dependent Execution

   Execute in main context:

   Read execution context from plan <execution_context> section
   Read domain context from plan <context> section

   For each task in <tasks>:
     IF type="auto": execute in main, track deviations
     IF type="checkpoint:*": execute in main, wait for user

   After all tasks:
     - Create SUMMARY.md
     - Update ROADMAP.md
     - Commit
     - Done
  1. Summary and completion:
  • Verify SUMMARY.md created
  • Verify commit successful
  • Present completion message with next steps

Critical Rules:

  • Read execution_context first: Always load files from <execution_context> section before executing
  • Minimal context loading: Only read files explicitly mentioned in <execution_context> and <context> sections
  • No skill invocation: Execute directly using native tools - don't invoke create-plans skill
  • All deviations tracked: Apply deviation rules from execute-phase.md, document everything in Summary
  • Checkpoints are blocking: Never skip user interaction for checkpoint tasks
  • Verification is mandatory: Don't mark complete without running verification checks
  • Follow execute-phase.md protocol: Loaded context contains all execution instructions

Context Efficiency Target:

  • Execution context: ~5-7k tokens (execute-phase.md, summary.md, checkpoints.md if needed)
  • Domain context: ~10-15k tokens (BRIEF, ROADMAP, codebase files)
  • Total overhead: <30% context, reserving 70%+ for workspace and implementation
// source originale publique
glittercowboy/taches-cc-resources
/commands/run-plan.md
Licence : MIT License
Projet indépendant, non affilié à Anthropic. Ce skill reste la propriété de son auteur original.
// installer ce skill
Collez cette commande dans votre terminal à la racine de votre projet :
mkdir -p .claude/commands && curl -o ".claude/commands/run-plan.md" "https://raw.githubusercontent.com/glittercowboy/taches-cc-resources/main/commands/run-plan.md"
Ensuite dans Claude Code, tapez /run-plan pour l'activer.
open_in_newVoir la source originale
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// informations
Créateurglittercowboy
Étoiles 2.0k
LicenceMIT License
Mis à jour1 avril 2026
Format.md
AccèsGratuit
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