Full logo

Full

Community
oliver-kriska
full

Deliver a large, cross-domain Phoenix feature or complete end-to-end system through planning, implementation, verification, and review. Use when several coordinated workflows or contexts must ship together. NOT for an existing plan; use /phx:work.

Overview

Publisheroliver-kriska
Repositoryclaude-elixir-phoenix
Skill namefull
Stars
555
Forks
40
Bundled files
4
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.

  • 4 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 Full 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/full .claude/skills/full
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Full 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 Full 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 Full 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.

Full Phoenix Feature Development

Execute complete Elixir/Phoenix feature development autonomously: research patterns, plan with specialist agents, implement with verification, Elixir code review. Cycles back automatically if review finds issues.

Usage

/phx:full Add user authentication with magic links
/phx:full Real-time notification system with Phoenix PubSub
/phx:full Background job processing for email campaigns --max-cycles 5
/phx:full Add magic-link auth --codex

Wrong input guard: if the argument is a path to an existing plan file (.claude/plans/*/plan.md), do NOT re-plan it. Say so and run /phx:work {path} instead — the plan phase already happened.

Flags

  • --codex — Codex CLI joins the review panel on every review cycle, matching /phx:review --codex.
  • Requires the codex CLI. A missing CLI degrades to a SKIPPED note — the cycle never fails.
  • Consensus findings (flagged by a Claude agent and codex) are marked HIGH CONFIDENCE.

Workflow Overview

┌──────────────────────────────────────────────────────────────────┐
│                       /phx:full {feature}                        │
├──────────────────────────────────────────────────────────────────┤
│                                                                  │
│  ┌────────┐  ┌────────┐  ┌────────┐  ┌────────┐  ┌────────┐  ┌────────┐  │
│  │Discover│→ │  Plan  │→ │  Work  │→ │ Verify │→ │ Review │→ │Compound│→Done│
│  │ Assess │  │[Pn-Tm] │  │Execute │  │  Full  │  │4 Agents│  │Capture │     │
│  │ Decide │  │ Phases │  │ Tasks  │  │  Loop  │  │Parallel│  │ Solve  │     │
│  └───┬────┘  └────────┘  └────────┘  └───┬────┘  └────────┘  └────────┘     │
│       │                            ↑      │    ↑              │         │
│       ├── "just do it" ────────────┤      │    │              │         │
│       ├── "plan it" ──┐            │      ↓    │              │         │
│       │               ↓            │ ┌────────┐│              │         │
│       │     ┌──────────────┐       │ │Fix     ││ ┌─────────┐ │         │
│       │     │   PLANNING   │       │ │Issues  │└─│ Fix     │←┘         │
│       │     └──────────────┘       │ └───┬────┘  │ Review  │           │
│       │                            │     ↓       │ Findings│           │
│       │                       ┌────┴─────────┐   └────┬────┘           │
│       │                       │   VERIFYING   │←──────┘                │
│       └── "research it" ─────┘  (re-verify)                            │
│            (comprehensive plan)                                         │
│                                                                  │
│  On Completion:                                                  │
│  Auto-compound: Capture solved problems → .claude/solutions/     │
│  Auto-suggest: /phx:document → /phx:learn-from-fix                       │
│                                                                  │
└──────────────────────────────────────────────────────────────────┘

State Machine

STATES: INITIALIZING → DISCOVERING → PLANNING → WORKING →
        VERIFYING → REVIEWING → COMPLETED → COMPOUNDING | BLOCKED

Claude Code nesting compatibility

Before delegating this cycle, determine the effective maximum nesting depth:

  1. If CLAUDE_CODE_MAX_SUBAGENT_SPAWN_DEPTH is a positive integer, use it.
  2. Otherwise, inspect claude --version: the default is 1 in Claude Code 2.1.217–2.1.218 and 3 in 2.1.219+.
  3. If the version cannot be determined, conservatively use 1.
  • Depth 3+ — the full nested topology is available; delegate to phx:workflow-orchestrator as usual.
  • Depth 1–2 — execute the same state machine in this main session. Read ${CLAUDE_PLUGIN_ROOT}/agents/workflow-orchestrator.md for the phase contract, but spawn leaf research/review specialists directly. Do not spawn workflow-orchestrator, planning-orchestrator, or parallel-reviewer, because those agents need to delegate again. Context supervision may still be spawned directly after its input files exist.

The fallback is a topology change only: preserve the same user decisions, artifacts, verification gates, retry/cycle limits, and review-to-fix loop. Never tell the user to set an environment variable just to make /phx:full work.

Save state in .claude/plans/{slug}/progress.md AND via Claude Code tasks. Create one task per phase at start, mark in_progress on entry and completed on exit:

TaskCreate({subject: "Discover & assess complexity", activeForm: "Discovering..."})
TaskCreate({subject: "Plan feature", activeForm: "Planning..."})
TaskCreate({subject: "Implement tasks", activeForm: "Working..."})
TaskCreate({subject: "Verify implementation", activeForm: "Verifying..."})
TaskCreate({subject: "Review with specialists", activeForm: "Reviewing..."})
TaskCreate({subject: "Capture solutions", activeForm: "Compounding..."})

Set up blockedBy dependencies between phases (sequential).

Run COMPOUNDING phase on COMPLETED to capture solved problems in .claude/solutions/. Suggest /phx:document for docs and /phx:learn-from-fix for quick pattern capture.

Cycle Limits

SettingDefaultDescription
--max-cycles10Max plan→review cycles
--max-retries3Max retries per task
--max-blockers5Max blockers before stopping

Stop with INCOMPLETE status when limits exceeded. List remaining work and recommended action.

Integration

text
/phx:full = /phx:plan → /phx:work → /phx:verify → /phx:review → (fix → /phx:verify) → /phx:compound

Use Ralph Wiggum Loop for fully autonomous execution:

bash
/ralph-loop:ralph-loop "/phx:full {feature}" --completion-promise "DONE" --max-iterations 50

Iron Laws

  1. NEVER skip verification — Every task must pass mix compile --warnings-as-errors before moving to the next. Run mix test <affected> per-phase, full suite only at final gate
  2. Respect cycle limits — When --max-cycles is exhausted, STOP with INCOMPLETE status. Do not continue indefinitely hoping the next fix works
  3. One state transition at a time — Follow the state machine strictly. Never jump from PLANNING to REVIEWING — each state produces artifacts the next state needs
  4. Discover before deciding — Always run DISCOVERING phase to assess complexity. Skipping it for "simple" features leads to underplanned implementations
  5. Agent output is findings, not fixes — Review agents report issues. Only the WORKING state makes code changes
  6. Skip redundant review agents — In REVIEWING phase: skip verification-runner (work phase already verified), skip iron-law-judge if PostToolUse hooks verified all files. For <200 lines changed, spawn only elixir-reviewer + security-analyzer (if auth files)
  7. ZERO narration in autonomous mode — This is a HARD rule, not a suggestion. NEVER write "Let me now...", "Now I need to...", "I'll now...", "Next, I will...", or any preamble before a tool call. Just call the tool. Only output text for: decisions that need explanation, errors, or phase transitions. If you catch yourself narrating, delete the text and just make the tool call. (Post-PR validation: 30% of messages still violated this — the instruction was too soft. This stronger wording is required.)

References

  • ${CLAUDE_SKILL_DIR}/references/execution-steps.md — Detailed step-by-step execution
  • ${CLAUDE_SKILL_DIR}/references/example-run.md — Example full cycle run
  • ${CLAUDE_SKILL_DIR}/references/safety-recovery.md — Safety rails, resume, rollback
  • ${CLAUDE_SKILL_DIR}/references/cycle-patterns.md — Advanced cycling strategies

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 Full AI skill do?

Deliver a large, cross-domain Phoenix feature or complete end-to-end system through planning, implementation, verification, and review. Use when several coordinated workflows or contexts must ship together. NOT for an existing plan; use /phx:work.

Why use Full on TypingMind?

Because you install it once and use it with any model. Full 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 Full 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/full. 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 Full?

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 Full?

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

Is the Full 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇