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Help

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oliver-kriska
help

Choose Phoenix review, plan, debug, or test command. Use when user asks which /phx: command or plugin skill handles a task; do not route only to a domain skill. NEVER for bare /help; NOT for ambiguous requests (use intent-detection) or a plugin tour.

Overview

Publisheroliver-kriska
Repositoryclaude-elixir-phoenix
Skill namehelp
Stars
555
Forks
40
Bundled files
1
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.

  • 1 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 Help 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/help .claude/skills/help
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Help 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 Help 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 Help 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.

Plugin Help — Interactive Command Advisor

Helps users find the right command, skill, or agent for their situation.

Usage

/phx:help                          # Analyze context, suggest commands
/phx:help how do I debug this?     # Route to /phx:investigate
/phx:help add a new feature        # Route to /phx:plan -> /phx:work

Arguments

  • $ARGUMENTS — optional description of what the user wants to do
  • Empty = analyze current context (git status, existing plans, file patterns)

Execution Flow

Step 1: Gather Context

If $ARGUMENTS is non-empty, use it as primary signal.

Always gather ambient context (run in parallel):

  1. Check for existing plans: use Glob on .claude/plans/*/plan.md — active work in progress?
  2. Check git status: uncommitted changes? which files?
  3. Check for solution docs: use Glob on .claude/solutions/**/*.md — prior knowledge?

Step 2: Classify Intent

Read ${CLAUDE_SKILL_DIR}/references/tool-catalog.md for the full routing table.

Map the user's situation to one of these categories:

CategorySignalsPrimary Commands
Starting outNo plans, new to plugin/phx:intro
Ideation"explore", "brainstorm", "not sure", "how to approach", "vague idea"/phx:brainstorm
New feature"add", "build", "implement", multi-file/phx:plan/phx:work
Quick changeSingle file, <50 lines, "fix typo"/phx:quick
BugError, stack trace, "broken", "failing"/phx:investigate
Review"check", "review", PR ready/phx:review
Performance"slow", "N+1", "memory"/phx:perf, /ecto:n1-check, /lv:assigns
Research"how to", "best practice", "evaluate lib"/phx:research
Resume workExisting plan with unchecked tasks/phx:work --continue
Post-fix"that worked", solved a hard bug/phx:compound
Full cycleLarge feature, new domain area/phx:full
Project health"audit", "tech debt", "overall quality"/phx:audit, /phx:techdebt
Dep update audit"audit deps", "supply chain", "post-mix deps.update", "review mix.lock PR"/phx:deps-audit
Manual dep vetting"vet this package", "approve dep", "trust ledger", "after /phx:deps-audit findings"/phx:deps-vet
Deployment"deploy", "release", "production"/phx:verify then deploy skill
Permissions"too many prompts", "allow", "permission fatigue"/phx:permissions
Returning after time off"what did I miss", "back from vacation", "catch up", "what changed while I was out"/catchup (companion plugin, separate install)

Step 3: Respond or Clarify

If high confidence (clear match to one category): Present the recommendation with:

  • The command to run (with exact syntax)
  • One-line explanation of what it does
  • What artifacts it creates (if any)
  • Suggested next step after it completes

If medium confidence (2-3 possible matches): Use AskUserQuestion with the top options, each with a one-line explanation.

If low confidence (vague or no signal): Ask ONE focused clarifying question. Examples:

  • "Are you starting something new or continuing existing work?"
  • "Is this a bug fix or a new feature?"
  • "How many files do you expect to change?"

Then recommend based on the answer.

Step 4: Offer Follow-up

After recommending, always add:

  • "Run /phx:help anytime to get routing advice"
  • If they seem new: "Try /phx:intro for a full plugin walkthrough"

Iron Laws

  1. ONE recommendation — don't dump the full catalog, pick the best match
  2. MAX ONE clarifying question — don't interrogate, make your best guess
  3. Show exact syntax/phx:plan Add user notifications not just "use the plan command"
  4. Context over keywords — existing plans + git state matter more than word matching
  5. NEVER block — if user already knows what they want, DO NOT redirect

Integration

  • Complements intent-detection (auto-trigger) with explicit invocation
  • References same routing logic but adds interactive clarification
  • Can recommend /phx:intro for onboarding

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 Help AI skill do?

Choose Phoenix review, plan, debug, or test command. Use when user asks which /phx: command or plugin skill handles a task; do not route only to a domain skill. NEVER for bare /help; NOT for ambiguous requests (use intent-detection) or a plugin tour.

Why use Help on TypingMind?

Because you install it once and use it with any model. Help 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 Help 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/help. 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 Help?

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 Help?

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

Is the Help 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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