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Plan

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oliver-kriska
plan

Plan features spanning multiple domains: billing (Stripe), auth (RBAC), real-time (Presence), webhooks, jobs (Oban). Use when designing interconnected systems or converting review findings into tasks.

Overview

Publisheroliver-kriska
Repositoryclaude-elixir-phoenix
Skill nameplan
Stars
555
Forks
40
Bundled files
6
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.

  • 6 bundled files

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

  • Open source

    Published by oliver-kriska on GitHub. Read the source before you install it.

Installation

Install the Plan 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/oliver-kriska/claude-elixir-phoenix.git /tmp/claude-elixir-phoenix
mkdir -p .claude/skills
cp -r /tmp/claude-elixir-phoenix/plugins/elixir-phoenix/skills/plan .claude/skills/plan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Plan 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 Plan 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 Plan 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.

Plan Elixir/Phoenix Feature

Plan a feature by spawning Elixir specialist agents, then output structured plan with checkboxes.

What Makes /phx:plan Different from /plan

  1. Spawns Elixir specialist agents for research
  2. Plans with [ecto], [liveview], [oban] task routing
  3. Checks for Iron Law compliance in the plan
  4. Includes mix compile/format/credo/test verification
  5. Understands Phoenix context boundaries

Usage

/phx:plan Add user avatars with S3 upload
/phx:plan .claude/plans/notifications/reviews/notifications-review.md
/phx:plan Implement notifications --depth deep
/phx:plan .claude/plans/auth/plan.md --existing

Arguments

  • $ARGUMENTS = Feature description, review file, or existing plan
  • --depth quick|standard|deep = Planning depth (auto-detected)
  • --existing = Enhance an existing plan with deeper research

Workflow

  1. Gather context — File path (skip to agents), brainstorm interview.md (skip clarification), clear description, or vague
  2. Clarify if vague — Ask questions ONE at a time (skip if brainstorm interview.md exists with Status: COMPLETE)
  3. Detect depth — Auto-detect quick/standard/deep
  4. Runtime context (Tidewave) — Gather live schemas, routes, and warnings before spawning agents (direct path only — the research orchestrator gathers its own)
  5. Spawn research — Selective, based on need. 0–2 agents: spawn directly in parallel. 3+ agents (broad multi-context feature): determine the effective maximum nesting depth. Use an explicit positive-integer CLAUDE_CODE_MAX_SUBAGENT_SPAWN_DEPTH value first; when it is unset, inspect claude --version (the default is 1 in 2.1.217–2.1.218 and 3 in 2.1.219+). If the version is unavailable, conservatively use 1. At depth 3+, spawn ONE planning-orchestrator to run and compress the fan-out. At depth 1 or 2, keep orchestration in this main session: spawn the selected specialist agents directly, wait for them, then spawn phx:context-supervisor directly if compression is needed. Never spawn an orchestrator that cannot delegate. Read only the resulting digest and summaries/consolidated.md. Create a Claude Code task per spawn: TaskCreate({subject: "{Agent} research", activeForm: "Researching..."}), mark in_progress on spawn, completed when done
  6. Wait for ALL agents — Do NOT proceed until all return "completed". NEVER write plan while any agent is still running
  7. Breadboard (LiveView) — System map for multi-page features
  8. Completeness check — MANDATORY when planning from review
  9. Split decision — One plan or multiple, concrete options
  10. Generate plan — Checkboxes, phased tasks, code patterns. Also create plans/{slug}/scratchpad.md for decisions and dead-ends
  11. Self-check (deep only) — Three questions in Risks section
  12. Present and ask — STOP, show summary, let user decide

When planning from review: Every finding must appear in the plan — either as a task OR explicitly deferred by the user.

See ${CLAUDE_SKILL_DIR}/references/planning-workflow.md for detailed step-by-step.

--existing Mode (Deepening)

Enhances an existing plan instead of creating a new one:

  1. Load plan, search .claude/solutions/ for known risks
  2. Spawn SPECIALIST agents (not Explore) for thin sections. Each agent writes to .claude/plans/{slug}/research/ and returns only a 500-word summary. Same agent selection rules
  3. Wait for ALL agents (mark tasks completed as each finishes)
  4. Add implementation detail, resolve spikes, add verification
  5. Present diff summary — NEVER delete existing tasks

Iron Laws

  1. NEVER auto-start /phx:work — Always present plan and ask
  2. Research before assuming — Web-search unfamiliar tech
  3. Spawn agents selectively — Only relevant, not all
  4. NEVER write plan while agents still running
  5. NEVER skip input findings — Every finding MUST have a task
  6. Do NOT spawn hex-library-researcher for existing deps
  7. Skip research when planning from review/investigation — When input is a review file or /phx:investigate output, the findings ARE the research. Do NOT spawn agents to re-discover what the review already found. Convert findings directly to plan tasks. (Confirmed: 56-session analysis showed same findings discovered 3-4x across review→investigate→plan phases, wasting ~96K tokens)

Integration with Workflow

text
/phx:plan {feature}  <-- YOU ARE HERE
       |
   /phx:plan --existing (optional enhancement)
       |
   ASK USER -> /phx:work .claude/plans/{feature}/plan.md
       |
/phx:review → /phx:compound

Notes

  • Plans saved to .claude/plans/{slug}/plan.md
  • Research reports in .claude/plans/{slug}/research/ can be deleted after

CRITICAL: After Writing the Plan

STOP. Do NOT proceed to implementation.

After writing .claude/plans/{slug}/plan.md:

  1. Summarize: task count, phases, key decisions
  2. Use AskUserQuestion with options:
    • "Start in fresh session" (recommended for 5+ tasks)
    • "Get a briefing" (/phx:brief — interactive walkthrough)
    • "Start here"
    • "Review or adjust the plan"
  3. Wait for user response. Never auto-start work.

When user selects "Start in fresh session", print:

1. Run `/new` to start a fresh session
2. Then run one of:
   /phx:work .claude/plans/{slug}/plan.md
   /phx:full .claude/plans/{slug}/plan.md  (includes review + compound)

This is Iron Law #1. Violating it wastes user context.

References (DO NOT read — for human reference only)

  • ${CLAUDE_SKILL_DIR}/references/planning-workflow.md — Detailed step-by-step
  • ${CLAUDE_SKILL_DIR}/references/plan-template.md
  • ${CLAUDE_SKILL_DIR}/references/complexity-detail.md
  • ${CLAUDE_SKILL_DIR}/references/example-plan.md
  • ${CLAUDE_SKILL_DIR}/references/agent-selection.md
  • ${CLAUDE_SKILL_DIR}/references/breadboarding.md

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 Plan AI skill do?

Plan features spanning multiple domains: billing (Stripe), auth (RBAC), real-time (Presence), webhooks, jobs (Oban). Use when designing interconnected systems or converting review findings into tasks.

Why use Plan on TypingMind?

Because you install it once and use it with any model. Plan 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 Plan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/oliver-kriska/claude-elixir-phoenix/tree/main/plugins/elixir-phoenix/skills/plan. 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 Plan?

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 Plan?

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

Is the Plan AI skill free?

Yes. It is published on GitHub by oliver-kriska 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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