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Create Plans

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glittercowboy
create-plans

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.

Overview

Publisherglittercowboy
Repositorytaches-cc-resources
Skill namecreate-plans
Stars
2K
Forks
411
Bundled files
30
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 30 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by glittercowboy on GitHub. Read the source before you install it.

Installation

Install the Create Plans AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/glittercowboy/taches-cc-resources.git /tmp/taches-cc-resources
mkdir -p .claude/skills
cp -r /tmp/taches-cc-resources/skills/create-plans .claude/skills/create-plans
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Create Plans in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Create Plans on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Create Plans is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

<essential_principles>

When planning a phase, you are writing the prompt that will execute it.

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

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

During execution, deviations are handled automatically via 5 embedded rules:

  1. Auto-fix bugs - Broken behavior → fix immediately, document in Summary
  2. Auto-add missing critical - Security/correctness gaps → add immediately, document
  3. Auto-fix blockers - Can't proceed → fix immediately, document
  4. Ask about architectural - Major structural changes → stop and ask user
  5. 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)

Milestone-driven: Ship v1.0 → mark milestone → plan v1.1 → ship → repeat. Milestones mark shipped versions and enable continuous iteration.

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

If it sounds like corporate PM theater, delete it.

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.

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

  • 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

</essential_principles>

<context_scan> Run on every invocation to understand current state:

bash
# Check git status
git rev-parse --git-dir 2>/dev/null || echo "NO_GIT_REPO"

# Check for planning structure
ls -la .planning/ 2>/dev/null
ls -la .planning/phases/ 2>/dev/null

# Find any continue-here files
find . -name ".continue-here.md" -type f 2>/dev/null

# Check for existing artifacts
[ -f .planning/BRIEF.md ] && echo "BRIEF: exists"
[ -f .planning/ROADMAP.md ] && echo "ROADMAP: exists"

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>

bash
ls ~/.claude/skills/expertise/ 2>/dev/null

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:

KeywordsDomain 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:

Detected: [domain] project → expertise/[skill-name]
Load this expertise for planning? (Y / see other options / none)

</inference_rules>

<no_inference> If no domain obvious from request, present options:

What type of project is this?

Available domain expertise:
1. macos-apps - Native macOS with Swift/SwiftUI
2. iphone-apps - Native iOS with Swift/SwiftUI
3. unity-games - Unity game development
4. swift-midi-apps - MIDI/audio apps
5. with-agent-sdk - Claude Agent SDK apps
6. ui-design - Stunning UI/UX design & frontend development
[... any others found in expertise/]

N. None - proceed without domain expertise
C. Create domain skill first

Select:

</no_inference>

<load_domain> When domain selected, use intelligent loading:

Step 1: Read domain SKILL.md

bash
cat ~/.claude/skills/expertise/[domain]/SKILL.md 2>/dev/null

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:

markdown
<references_index>
**For database/persistence phases:** references/core-data.md, references/swift-concurrency.md
**For UI/layout phases:** references/swiftui-layout.md, references/appleHIG.md
**For system integration:** references/appkit-integration.md
**Always useful:** references/swift-conventions.md
</references_index>

Step 3: Load only relevant references

Based on the phase being planned (from ROADMAP), load ONLY the references mentioned for that type of work.

bash
# Example: Planning a database phase
cat ~/.claude/skills/expertise/macos-apps/references/core-data.md
cat ~/.claude/skills/expertise/macos-apps/references/swift-conventions.md

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>

If handoff found:

Found handoff: .planning/phases/XX/.continue-here.md
[Summary of state from handoff]

1. Resume from handoff
2. Discard handoff, start fresh
3. Different action

If planning structure exists:

Project: [from BRIEF or directory]
Brief: [exists/missing]
Roadmap: [X phases defined]
Current: [phase status]

What would you like to do?
1. Plan next phase
2. Execute current phase
3. Create handoff (stopping for now)
4. View/update roadmap
5. Something else

If no planning structure:

No planning structure found.

What would you like to do?
1. Start new project (create brief)
2. Create roadmap from existing brief
3. Jump straight to phase planning
4. Get guidance on approach

Wait for response before proceeding.

Critical: Plan execution should NOT invoke this skill. Use /run-plan for context efficiency (skill loads ~20k tokens, /run-plan loads ~5-7k).

After reading the workflow, follow it exactly.

BRIEF.md          → Human vision (you read this)
ROADMAP.md        → Phase structure (overview)
RESEARCH.md       → Research prompt (optional, for unknowns)
FINDINGS.md       → Research output (if research done)
PLAN.md           → THE PROMPT (Claude executes this)
SUMMARY.md        → Outcome (existence = phase complete)

Rules:

  • Roadmap requires Brief (or prompts to create one)
  • Phase plan requires Roadmap (knows phase scope)
  • PLAN.md IS the execution prompt
  • SUMMARY.md existence marks phase complete
  • Each level can look UP for context

<output_structure> All planning artifacts go in .planning/:

.planning/
├── BRIEF.md                    # Human vision
├── ROADMAP.md                  # Phase structure + tracking
└── phases/
    ├── 01-foundation/
    │   ├── 01-01-PLAN.md       # Plan 1: Database setup
    │   ├── 01-01-SUMMARY.md    # Outcome (exists = done)
    │   ├── 01-02-PLAN.md       # Plan 2: API routes
    │   ├── 01-02-SUMMARY.md
    │   ├── 01-03-PLAN.md       # Plan 3: UI components
    │   └── .continue-here-01-03.md  # Handoff (temporary, if needed)
    └── 02-auth/
        ├── 02-01-RESEARCH.md   # Research prompt (if needed)
        ├── 02-01-FINDINGS.md   # Research output
        ├── 02-02-PLAN.md       # Implementation prompt
        └── 02-02-SUMMARY.md

Naming convention:

  • Plans: {phase}-{plan}-PLAN.md (e.g., 01-03-PLAN.md)
  • Summaries: {phase}-{plan}-SUMMARY.md (e.g., 01-03-SUMMARY.md)
  • Phase folders: {phase}-{name}/ (e.g., 01-foundation/)

Files sort chronologically. Related artifacts (plan + summary) are adjacent. </output_structure>

<reference_index> All in references/:

Structure: directory-structure.md, hierarchy-rules.md Formats: handoff-format.md, plan-format.md Patterns: context-scanning.md, context-management.md Planning: scope-estimation.md, checkpoints.md, milestone-management.md Process: user-gates.md, git-integration.md, research-pitfalls.md Domain: domain-expertise.md (guide for creating context-efficient domain skills) </reference_index>

<templates_index> All in templates/:

TemplatePurpose
brief.mdProject vision document with current state
roadmap.mdPhase structure with milestone groupings
phase-prompt.mdExecutable phase prompt (PLAN.md)
research-prompt.mdResearch prompt (RESEARCH.md)
summary.mdPhase outcome (SUMMARY.md) with deviations
milestone.mdMilestone entry for MILESTONES.md
issues.mdDeferred enhancements log (ISSUES.md)
continue-here.mdContext handoff format
</templates_index>

<workflows_index> All in workflows/:

WorkflowPurpose
create-brief.mdCreate project vision document
create-roadmap.mdDefine phases from brief
plan-phase.mdCreate executable phase prompt
execute-phase.mdRun phase prompt, create summary
research-phase.mdCreate and run research prompt
plan-chunk.mdPlan immediate next tasks
transition.mdMark phase complete, advance
complete-milestone.mdMark shipped version, create milestone entry
handoff.mdCreate context handoff for pausing
resume.mdLoad handoff, restore context
get-guidance.mdHelp decide planning approach
</workflows_index>

<success_criteria> Planning skill succeeds when:

  • Context scan runs before intake
  • Appropriate workflow selected based on state
  • PLAN.md IS the executable prompt (not separate)
  • Hierarchy is maintained (brief → roadmap → phase)
  • Handoffs preserve full context for resumption
  • Context limits are respected (auto-handoff at 10%)
  • Deviations handled automatically per embedded rules
  • All work (planned and discovered) fully documented
  • Domain expertise loaded intelligently (SKILL.md + selective references, not all files)
  • Plan execution uses /run-plan command (not skill invocation) </success_criteria>

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Create Plans AI skill do?

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.

Why use Create Plans on TypingMind?

Because you install it once and use it with any model. Create Plans is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Create Plans in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/glittercowboy/taches-cc-resources/tree/main/skills/create-plans. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Create Plans?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Create Plans?

As many as you like. As long as a model supports skills, you can use Create Plans with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Create Plans AI skill free?

Yes. It is published on GitHub by glittercowboy under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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