glittercowboy/taches-cc-resources/create-plans
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Create hierarchical project plans optimized for solo agentic development. Use when planning projects, phases, or tasks that Claude will execute. Produces Claude-executable plans with verification criteria, not enterprise documentation. Handles briefs, roadmaps, phase plans, and context handoffs.
Install
npx vskill@latest install glittercowboy/taches-cc-resources/create-plansSKILL.md
<essential_principles>
<principle name="solo_developer_plus_claude"> You are planning for ONE person (the user) and ONE implementer (Claude). No teams. No stakeholders. No ceremonies. No coordination overhead. The user is the visionary/product owner. Claude is the builder. </principle>
<principle name="plans_are_prompts"> PLAN.md is not a document that gets transformed into a prompt. PLAN.md IS the prompt. It contains:
- Objective (what and why)
- Context (@file references)
- Tasks (type, files, action, verify, done, checkpoints)
- Verification (overall checks)
- Success criteria (measurable)
- Output (SUMMARY.md specification)
When planning a phase, you are writing the prompt that will execute it. </principle>
<principle name="scope_control"> Plans must complete within ~50% of context usage to maintain consistent quality.
The quality degradation curve:
- 0-30% context: Peak quality (comprehensive, thorough, no anxiety)
- 30-50% context: Good quality (engaged, manageable pressure)
- 50-70% context: Degrading quality (efficiency mode, compression)
- 70%+ context: Poor quality (self-lobotomization, rushed work)
Critical insight: Claude doesn't degrade at 80% - it degrades at ~40-50% when it sees context mounting and enters "completion mode." By 80%, quality has already crashed.
Solution: Aggressive atomicity - split phases into many small, focused plans.
Examples:
01-01-PLAN.md- Phase 1, Plan 1 (2-3 tasks: database schema only)01-02-PLAN.md- Phase 1, Plan 2 (2-3 tasks: database client setup)01-03-PLAN.md- Phase 1, Plan 3 (2-3 tasks: API routes)01-04-PLAN.md- Phase 1, Plan 4 (2-3 tasks: UI components)
Each plan is independently executable, verifiable, and scoped to 2-3 tasks maximum.
Atomic task principle: Better to have 10 small, high-quality plans than 3 large, degraded plans. Each commit should be surgical, focused, and maintainable.
Autonomous execution: Plans without checkpoints execute via subagent with fresh context - impossible to degrade.
See: references/scope-estimation.md </principle>
<principle name="human_checkpoints"> Claude automates everything that has a CLI or API. Checkpoints are for verification and decisions, not manual work.
Checkpoint types:
checkpoint:human-verify- Human confirms Claude's automated work (visual checks, UI verification)checkpoint:decision- Human makes implementation choice (auth provider, architecture)
Rarely needed: checkpoint:human-action - Only for actions with no CLI/API (email verification links, account approvals requiring web login with 2FA)
Critical rule: If Claude CAN do it via CLI/API/tool, Claude MUST do it. Never ask human to:
- Deploy to Vercel/Railway/Fly (use CLI)
- Create Stripe webhooks (use CLI/API)
- Run builds/tests (use Bash)
- Write .env files (use Write tool)
- Create database resources (use provider CLI)
Protocol: Claude automates work → reaches checkpoint:human-verify → presents what was done → waits for confirmation → resumes
See: references/checkpoints.md, references/cli-automation.md </principle>
<principle name="deviation_rules"> Plans are guides, not straitjackets. Real development always involves discoveries.
During execution, deviations are handled automatically via 5 embedded rules:
- Auto-fix bugs - Broken behavior → fix immediately, document in Summary
- Auto-add missing critical - Security/correctness gaps → add immediately, document
- Auto-fix blockers - Can't proceed → fix immediately, document
- Ask about architectural - Major structural changes → stop and ask user
- Log enhancements - Nice-to-haves → auto-log to ISSUES.md, continue
No user intervention needed for Rules 1-3, 5. Only Rule 4 (architectural) requires user decision.
All deviations documented in Summary with: what was found, what rule applied, what was done, commit hash.
Result: Flow never breaks. Bugs get fixed. Scope stays controlled. Complete transparency.
See: workflows/execute-phase.md (deviation_rules section) </principle>
<principle name="ship_fast_iterate_fast"> No enterprise process. No approval gates. No multi-week timelines. Plan → Execute → Ship → Learn → Repeat.
Milestone-driven: Ship v1.0 → mark milestone → plan v1.1 → ship → repeat. Milestones mark shipped versions and enable continuous iteration. </principle>
<principle name="milestone_boundaries"> Milestones mark shipped versions (v1.0, v1.1, v2.0).
Purpose:
- Historical record in MILESTONES.md (what shipped when)
- Greenfield → Brownfield transition marker
- Git tags for releases
- Clear completion rituals
Default approach: Extend existing roadmap with new phases.
- v1.0 ships (phases 1-4) → add phases 5-6 for v1.1
- Continuous phase numbering (01-99)
- Milestone groupings keep roadmap organized
Archive ONLY for: Separate codebases or complete rewrites (rare).
See: references/milestone-management.md </principle>
<principle name="anti_enterprise_patterns"> NEVER include in plans:
- Team structures, roles, RACI matrices
- Stakeholder management, alignment meetings
- Sprint ceremonies, standups, retros
- Multi-week estimates, resource allocation
- Change management, governance processes
- Documentation for documentation's sake
If it sounds like corporate PM theater, delete it. </principle>
<principle name="context_awareness"> Monitor token usage via system warnings.
At 25% remaining: Mention context getting full At 15% remaining: Pause, offer handoff At 10% remaining: Auto-create handoff, stop
Never start large operations below 15% without user confirmation. </principle>
<principle name="user_gates"> Never charge ahead at critical decision points. Use gates:
- AskUserQuestion: Structured choices (2-4 options)
- Inline questions: Simple confirmations
- Decision gate loop: "Ready, or ask more questions?"
Mandatory gates:
- Before writing PLAN.md (confirm breakdown)
- After low-confidence research
- On verification failures
- After phase completion with issues
- Before starting next phase with previous issues
See: references/user-gates.md </principle>
<principle name="git_versioning"> All planning artifacts are version controlled. Commit outcomes, not process.
- Check for repo on invocation, offer to initialize
- Commit only at: initialization, phase completion, handoff
- Intermediate artifacts (PLAN.md, RESEARCH.md, FINDINGS.md) NOT committed separately
- Git log becomes project history
See: references/git-integration.md </principle>
</essential_principles>
<context_scan> Run on every invocation to understand current state:
If NO_GIT_REPO detected: Inline question: "No git repo found. Initialize one? (Recommended for version control)" If yes: git init
Present findings before intake question. </context_scan>
<domain_expertise> Domain expertise lives in `~/.claude/skills/expertise/`
Before creating roadmap or phase plans, determine if domain expertise should be loaded.
<scan_domains>
This reveals available domain expertise (e.g., macos-apps, iphone-apps, unity-games, nextjs-ecommerce).
If no domain skills found: Proceed without domain expertise (graceful degradation). The skill works fine without domain-specific context. </scan_domains>
<inference_rules> If user's request contains domain keywords, INFER the domain:
| Keywords | Domain Skill | |
|---|---|---|
| "macOS", "Mac app", "menu bar", "AppKit", "SwiftUI desktop" | expertise/macos-apps | |
| "iPhone", "iOS", "iPad", "mobile app", "SwiftUI mobile" | expertise/iphone-apps | |
| "Unity", "game", "C#", "3D game", "2D game" | expertise/unity-games | |
| "MIDI", "MIDI tool", "sequencer", "MIDI controller", "music app", "MIDI 2.0", "MPE", "SysEx" | expertise/midi | |
| "Agent SDK", "Claude SDK", "agentic app" | expertise/with-agent-sdk | |
| "Python automation", "workflow", "API integration", "webhooks", "Celery", "Airflow", "Prefect" | expertise/python-workflow-automation | |
| "UI", "design", "frontend", "interface", "responsive", "visual design", "landing page", "website design", "Tailwind", "CSS", "web design" | expertise/ui-design |
If domain inferred, confirm:
</inference_rules>
<no_inference> If no domain obvious from request, present options:
</no_inference>
<load_domain> When domain selected, use intelligent loading:
Step 1: Read domain SKILL.md
This loads core principles and routing guidance (~5k tokens).
Step 2: Determine what references are needed
Domain SKILL.md should contain a <references_index> section that maps planning contexts to specific references.
Example:
Step 3: Load only relevant references
Based on the phase being planned (from ROADMAP), load ONLY the references mentioned for that type of work.
Context efficiency:
- SKILL.md only: ~5k tokens
- SKILL.md + selective references: ~8-12k tokens
- All references (old approach): ~20-27k tokens
Announce: "Loaded [domain] expertise ([X] references for [phase-type])."
If domain skill not found: Inform user and offer to proceed without domain expertise.
If SKILL.md doesn't have references_index: Fall back to loading all references with warning about context usage. </load_domain>
<when_to_load> Domain expertise should be loaded BEFORE:
- Creating roadmap (phases should be domain-appropriate)
- Planning phases (tasks must be domain-specific)
Domain expertise is NOT needed for:
- Creating brief (vision is domain-agnostic)
- Resuming from handoff (context already established)
- Transition between phases (just updating status)
</when_to_load> </domain_expertise>
<intake> Based on scan results, present context-aware options:
If handoff found:
If planning structure exists:
If no planning structure:
This is the start of the file. Read the full SKILL.md on GitHub.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
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Source
- SKILL.md in the repositoryCheckingskills/create-plans/SKILL.md
Popularity
- Repository stars
- 1,619
- Repository forks
- 379
- 7-day trend score
- 37
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 20 Mar 2026, 7 months ago.
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