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Phx Full

Community
oliver-kriska
phx-full

Run a portable sequential plan-work-verify-review-compound lifecycle. Use optional generic workers only when Amp makes them available.

Overview

Publisheroliver-kriska
Repositoryclaude-elixir-phoenix
Skill namephx-full
Stars
565
Forks
45
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 Phx 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.
    https://github.com/oliver-kriska/claude-elixir-phoenix/tree/main/targets/amp/skills/phx-full
  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/targets/amp/skills/phx-full .claude/skills/phx-full
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Phx 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 Phx 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 Phx 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

Run the portable lifecycle: discover → plan → work → verify → read-only review → compound. The filesystem is the state machine; no task API or named orchestrator is required.

Usage

text
phx-full Add user authentication with magic links
phx-full Background email jobs --max-cycles 5 --max-retries 2

If input is an existing .claude/plans/*/plan.md, do not re-plan. Ask for the native phx-work workflow or execute its portable behavior in this session. Defaults are --max-cycles 10, --max-retries 3, and --max-blockers 5.

Lifecycle

  1. DISCOVERING — inspect relevant code, tests, prior solutions, and optional Tidewave evidence. Tidewave is optional; local files, logs, and mix commands are the complete fallback. Record complexity and proposed depth, then wait for the user's plan/implementation gate. Never auto-select a path that bypasses it.
  2. PLANNING — invoke the runtime's native phx-plan skill when available, or execute its portable research checklist and artifact format in this session. Require .claude/plans/{slug}/plan.md. Present it and wait for approval before implementation unless the user already explicitly authorized the full run.
  3. WORKING — execute the plan sequentially. Task selection occurs only here. The full-run limits override any baseline workflow retry defaults. Before every attempt persist cycle, task retry, and blocker counters; if the next attempt exceeds a limit, do not run it. --max-retries N means at most N retries after the initial attempt (N+1 total attempts for that task). Mark [BLOCKED] and stop at --max-blockers.
  4. VERIFYING — run mix format --check-formatted, compile with warnings as errors, focused tests during work, and the full relevant suite at this gate. A failed gate appends FAIL and returns to WORKING only within the cycle limit.
  5. REVIEWING — invoke portable phx-review, or perform the same read-only, changed-file review sequentially. Generic workers are optional. Review never edits. Findings or failures become plan tasks and return to WORKING.
  6. COMPOUNDING — only after verification and a clean/accepted review. Do not invoke phx-compound. Inline contract: write a solution artifact under .claude/solutions/ only when the run produced a non-obvious, reusable learning, including problem, root cause, solution, and verification. Otherwise append COMPOUNDING SKIPPED: no reusable learning to progress. Never edit CLAUDE.md.

Track INITIALIZING → DISCOVERING → PLANNING → WORKING → VERIFYING → REVIEWING → COMPOUNDING → COMPLETED, with BLOCKED reachable from every phase. A cycle is one WORKING → VERIFYING → REVIEWING pass; increment and persist it before entering VERIFYING. At --max-cycles, do not begin another pass: stop INCOMPLETE with remaining tasks, failed evidence, and a concrete resume command for this runtime.

Iron Laws

  1. Honor user gates — discovery and plan approval are not automatic transitions.
  2. Never skip verification or the read-only review phase.
  3. Only WORKING edits code; review findings become explicit plan tasks.
  4. Respect every cycle, retry, and blocker limit; stop when exhausted.
  5. Persist state before stopping so plan checkboxes and progress evidence resume.
  6. Do not require hooks, MCP, named agents, background tasks, or a task UI.

Resume Ledger

progress.md is the sole state authority. It is append-only: never overwrite or maintain a competing authoritative current-state record. Every event has monotonic seq, phase_visit, phase, cycle, task, task_attempt, cumulative blockers, outcome, and an evidence or artifact path. On resume, validate the last valid event against evidence, plan checkboxes, artifacts, and git state, then enter only its legal successor. Any WORKING edit after a VERIFYING or REVIEWING pass invalidates both passes; the next legal phase is VERIFYING.

Completion requires all required plan tasks checked, no unresolved [BLOCKED], the latest VERIFYING PASS after the last edit, the latest accepted REVIEWING after that verify, and COMPOUNDING passed or explicitly skipped.

References

  • references/execution-steps.md — portable phase gates and outputs
  • references/example-run.md — example lifecycle
  • references/safety-recovery.md — resume and blocker recovery
  • references/cycle-patterns.md — bounded cycle patterns

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 Phx Full AI skill do?

Run a portable sequential plan-work-verify-review-compound lifecycle. Use optional generic workers only when Amp makes them available.

Why use Phx Full on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/oliver-kriska/claude-elixir-phoenix/tree/main/targets/amp/skills/phx-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 Phx 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 Phx Full?

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

Is the Phx 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.

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