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Check plan done

Skill OpenSIN-AI/OpenSIN-Skills/operations/planning/check-plan-done

DEPRECATED — Use /plan instead. Unified plan-and-execute workflow merged into /plan.From its SKILL.md

Install
npx -y skills add OpenSIN-AI/OpenSIN-Skills --skill check-plan-done

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SKILL.md

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⚠️ DEPRECATED — Use /plan instead. All functionality has been merged into the ultimate /plan skill.

Check Plan Done (Legacy)

Check -> Plan -> Review -> Do -> Verify


Purpose

Use this skill when the user wants one workflow that can:

  • check whether a good plan already exists
  • create a plan if it does not
  • review that plan before action
  • execute the work task by task
  • stop only when the done criteria actually pass

This skill is the merged successor to:

  • omoc-plan-swarm
  • /biometrics-plan
  • /biometrics-work

It preserves the strong parts of those sources and removes the weak ones:

  • keep the OMOC pipeline and fail-fast gates
  • keep the BIOMETRICS approval handoff before execution
  • keep the BIOMETRICS task-by-task execution discipline
  • remove vague slogans, hidden dependencies, fictional agents, and unbounded loops

Modes

Infer one of these modes before doing any work:

  1. plan-only
    • user wants strategy, roadmap, architecture, or a plan only
  2. plan-and-execute
    • user wants the work implemented, fixed, or finished
  3. resume-approved-plan
    • there is already a current approved plan in session or explicit project context, and it still matches the request

If the mode is unclear, pick the safest reasonable default from the user request. Only ask at the approval gate when the next action is destructive, irreversible, security-sensitive, or billing-sensitive.


Core Rules

  • Use real OpenCode tools only
  • Keep planning bounded: 2 parallel research tasks, 1 synthesis task, 1 review task
  • Keep prompts short and single-purpose
  • Use session context by default; do not depend on fixed plan paths or external orchestrators
  • Do not use fictional agents or undefined files as required dependencies
  • Do not auto-commit as part of the core loop
  • Derive validation from the actual stack and task; do not hardcode Go-only checks unless the project is Go
  • Revise the plan at most once after critical review
  • KING CEO TRACKING: If working in a git repository, ALWAYS sync the approved plan to a GitHub Issue (using gh issue create or sin-github-issues) before executing. Update the issue during execution, and close it when done.
  • Continue execution until all done criteria pass or a real blocker remains

Stage 0: Check

Before planning, answer these questions:

  1. Is there already an approved plan in the current session or explicit task context?
  2. Does that plan still match the current request?
  3. Does it contain concrete tasks, risks, validation steps, and done criteria?

If the answer to all three is yes, skip to Stage 4: Execute in resume-approved-plan mode. Otherwise, create a fresh plan.


Stage 1: Research (parallel)

Run both tasks in parallel.

Task A: Best-practice research

Use a focused research task to gather current implementation guidance.

task({
  subagent_type: "librarian",
  run_in_background: true,
  load_skills: [],
  description: "Best-practice research for: [TOPIC]",
  prompt: `
Research this implementation topic.

TOPIC: [insert task description]
DATE: [today's date]

Deliver:
1. Current best practices
2. Stable production-ready choices
3. Anti-patterns to avoid
4. Constraints that matter during execution

Output: concise markdown with concrete findings and sources when relevant.
No filler.
  `
})

Task B: Codebase or local-context analysis

task({
  subagent_type: "explore",
  run_in_background: true,
  load_skills: [],
  description: "Context analysis for: [TOPIC]",
  prompt: `
Analyze the local codebase or project context for this task.

TASK: [insert task description]
PATH: [project path]

Deliver:
1. Current structure and relevant surfaces
2. Existing patterns to preserve
3. Gaps or debt that affect the task
4. Integration points that can break
5. Validation commands or checks already used by the project

Output: concise markdown with file references when applicable.
No filler.
  `
})

Gate 1: Research quality

Do not proceed unless:

  • both branches returned concrete substance
  • the local analysis contains file or project references when applicable
  • the research identifies both good patterns and failure risks

If one branch is weak, rerun only that branch once with a tighter prompt.


Stage 2: Draft Plan

Synthesize one execution-ready plan.

task({
  category: "deep",
  load_skills: [],
  run_in_background: false,
  description: "Create plan for: [TOPIC]",
  prompt: `
Create an execution-ready plan from these findings.

TASK: [insert task description]
BEST PRACTICES: [paste research output]
LOCAL CONTEXT: [paste explore output]

Use this exact structure:

# Plan: [Title]
Mode: [plan-only | plan-and-execute | resume-approved-plan]
Created: [date]

## Summary
[what, why, expected result]

## Current State
[strengths, weaknesses, critical gaps]

## Decisions
[what to use, what to avoid, why]

## Phases
### Phase 1: [name] -- CRITICAL
- [ ] Task (effort: S/M/L, deps: ..., validation: ...)

### Phase 2: [name] -- HIGH
- [ ] Task (effort: S/M/L, deps: ..., validation: ...)

### Phase 3: [name] -- OPTIONAL
- [ ] Task (effort: S/M/L, deps: ..., validation: ...)

## Risks
| Risk | Likelihood | Impact | Mitigation |
|------|-----------|--------|------------|

## Done Criteria
- [ ] Criterion

## Sources
- [ ] Reference link or source path

## Dependencies
- [ ] Dependent issue ID or blocker

RULES:
- every task must be concrete and actionable
- every task must include validation
- Phase 1 must be the smallest critical path
- maximum 3 phases
  `
})

Gate 2: Plan completeness

Do not proceed unless the plan includes:

  • summary
  • current state
  • decisions
  • concrete phased tasks
  • validation per task
  • risks
  • done criteria

If anything is missing, fix the plan before review.


Stage 3: Critical Review

Run one hard review, then integrate the feedback yourself.

task({
  category: "artistry",
  load_skills: [],
  run_in_background: false,
  description: "Critical review of plan for: [TOPIC]",
  prompt: `
Review this plan critically.

PLAN:
[paste plan]

Check:
1. Critical gaps
2. False assumptions
3. Priority errors
4. Scope realism
5. Technical soundness
6. New debt introduced by the plan

Output:

## Verdict: APPROVED / NEEDS REVISION

## Issues
### CRITICAL
- ...
### HIGH
- ...
### LOW
- ...

## Suggested Changes
[concrete rewrites]

Be direct. No praise. No filler.
  `
})

Gate 3: Approval readiness

  • If verdict is APPROVED, continue
  • If verdict is NEEDS REVISION, revise once yourself and re-check locally
  • If critical issues still remain after one revision, stop and present the plan with open issues

If the mode is plan-only, return the approved plan here and stop.

If execution mode is active, ask one targeted approval question here before execution if the action is destructive, irreversible, security-sensitive, or billing-sensitive.


Stage 3.5: Tracker Sync (GitHub King CEO Mode)

If the project is a Git repository, the agent MUST persist the approved plan to GitHub using the Issue Architect before execution begins.

Option A: Issue Architect (Recommended — CEO 2026 Style)

Use the one-shot control-plane command to convert the approved plan into a roadmap and create the GitHub board:

node ~/dev/sin-solver-control-plane/packages/cli/src/index.mjs issues \
  --plan <path_to_saved_plan.md> \
  --repo <owner/repo> \
  --phase <phase_id> \
  --dry-run

Then remove --dry-run for the real creation pass.

This automatically:

  • converts the plan markdown into a roadmap JSON via plan-to-roadmap.mjs
  • creates labels, epics, sub-issues, and the master tracker via issue-architect.mjs
  • preserves the check-plan-done phase structure in GitHub issue form

This creates:

  • Labels with colors and descriptions
  • Epic issues with Context, Scope, Acceptance Criteria, Governance Gates, Sources, Dependencies
  • Sub-issues linked to parent epics via description references and cross-linking comments
  • Master Tracker issue aggregating all epics with progress table

If you need manual control, you can still run the two scripts separately.

Roadmap JSON structure:

{
  "labels": [{ "name": "epic", "color": "6f42c1", "description": "..." }],
  "masterTracker": { "title": "[Master] Phase X: ...", "summary": "..." },
  "epics": [{
    "id": "XA", "title": "[Epic] ...", "priority": "P0",
    "labels": ["epic", "phase:x"], "context": "...",
    "scope": ["..."], "acceptanceCriteria": ["..."],
    "governanceGates": ["sin doctor must pass"],
    "sources": ["[Link](url)"], "dependsOn": ["#NN"],
    "subIssues": [{
      "title": "[XA-1] ...", "priority": "P0",
      "labels": ["phase:x"], "tasks": ["..."],
      "acceptanceCriteria": ["..."]
    }]
  }]
}

Schema: ~/dev/sin-solver-control-plane/contracts/issue-architect-roadmap.schema.json Example: ~/dev/sin-solver-control-plane/roadmaps/example-phase4.json

Option B: Legacy Shell Scripts (Fallback)

  1. Create Epics & Tasks: ~/.config/opencode/scripts/sin-github-ceo.sh <plan.md> "<Epic Title>"
  2. Lock Commits: ~/.config/opencode/scripts/install-ceo-git-hooks.sh
  3. Sync Live Board: ~/.config/opencode/scripts/sync-github-board.sh

Output the created Master Epic URL to the user and declare King CEO Mode active.


Stage 4: Execute

Turn the approved plan into a live task loop.

Execution rules:

  • execute one concrete task at a time
  • keep the current task aligned with the approved phase order
  • after each task, run the exact validation required by the plan or the project
  • mark a task done only after validation passes
  • Live Tracker Update: Run ~/.config/opencode/scripts/sync-github-board.sh after major completions to keep the local board fresh. Add a comment to the GitHub Sub-Task with gh issue comment <ID>.
  • if validation fails, fix it before moving on
  • if blocked, use one focused background consultation only when truly needed
  • do not claim success while done criteria are still open

Do not create an unbounded orchestration loop. Use a bounded task loop with clear pass/fail checkpoints.


Stage 5: Verify Done

Before stopping, verify:

  • every required task is completed or explicitly deferred
  • every done criterion passes
  • all critical validations passed
  • any remaining risk or open issue is stated clearly
  • Tracker Closeout: Close the GitHub Sub-Tasks and the Master Epic with a final summary comment. Run ~/.config/opencode/scripts/sync-github-board.sh one last time.

Return:

  • what was completed
  • what was validated
  • what remains open, if anything

If the work is not actually done, continue the loop instead of giving a premature finish message.


Stage 5.5: Wiki & Issue Board Closeout (King CEO Mode)

An Enterprise-grade agent ensures knowledge outlives the task.

Issue Board Closeout

  • Close completed Sub-Issues and Epics with a final summary comment via gh issue close <ID> --comment "...".
  • Update the Master Tracker with final status.

Wiki Documentation Sync (if applicable)

If the project has a GitHub Wiki:

  1. Run ~/.config/opencode/scripts/sync-github-wiki.sh <path_to_saved_plan.md>
  2. If the script reports "WIKI NOT INITIALIZED", use browser automation to visit https://github.com/<owner>/<repo>/wiki/_new, create an initial page, then re-run.

Anti-Patterns To Reject

  • vague quality claims instead of measurable gates
  • hidden dependencies on fixed files like boulder.json
  • hardcoded stack assumptions like always running go fmt or go vet
  • fictional agent names without a real tool mapping
  • mandatory auto-commit in the core loop
  • planning without review
  • execution without done criteria
  • infinite loops with no stop condition

Practical Summary

The contract of this skill is simple:

  1. check whether a usable approved plan already exists
  2. if not, create one with bounded parallel research and hard review
  3. only then execute task by task
  4. verify every done criterion before stopping

That is what /check-plan-done means.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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