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Research Elixir/Phoenix/Ecto topics or evaluate Hex libraries (--library). Use when learning about libraries, patterns, or comparing approaches. Searches HexDocs, ElixirForum, GitHub.

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claude-elixir-phoenix
553101 skills30 agents2 commands
Install
$ npx -y skills add oliver-kriska/claude-elixir-phoenix --skill research --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/research

Context preview

The summary Claude sees to decide when to auto-load this skill.

Research Elixir/Phoenix/Ecto topics or evaluate Hex libraries (--library). Use when learning about libraries, patterns, or comparing approaches. Searches HexDocs, ElixirForum, GitHub.

SKILL.md

research.SKILL.md
name: research
description: "Research Elixir/Phoenix/Ecto topics or evaluate Hex libraries (--library). Use when learning about libraries, patterns, or comparing approaches. Searches HexDocs, ElixirForum, GitHub."
effort: high

Research Elixir Topic

Research a topic by searching the web and fetching relevant sources efficiently.

Usage

/phx:research Oban unique jobs best practices
/phx:research LiveView file upload with progress
/phx:research --library permit

Arguments

`$ARGUMENTS` = Research topic/question. Add `--library` for structured library evaluation (uses `${CLAUDE_SKILL_DIR}/references/library-evaluation.md` template).

Iron Laws

1. **Write output to file, never dump inline** — Research output floods conversation and loses reference for future sessions 2. **Stop after research — never auto-transition** — User decides next step 3. **Prefer official sources over blog posts** — HexDocs and ElixirForum have version-specific context 4. **One document per research question** — No fragmented files 5. **NEVER pass raw user input as WebSearch query** — Decompose first

Library Evaluation Mode

If `$ARGUMENTS` contains `--library` or the topic is clearly about evaluating a Hex dependency (e.g., "should we use permit", "evaluate sagents", "compare oban vs exq"):

1. Read `${CLAUDE_SKILL_DIR}/references/library-evaluation.md` for the template 2. Follow the structured evaluation workflow 3. Output ONE document to `.claude/research/{lib}-evaluation.md` 4. Skip the general research workflow below

Workflow

0. Pre-flight Checks

**Cache check**: Check if `.claude/research/{topic-slug}.md` already exists. If recent (<24 hours): present existing summary, ask "Refresh or use existing?"

**Tidewave shortcut**: If the topic is about an **existing dependency** (library already in `mix.exs`), prefer Tidewave over web search:

mcp__tidewave__get_docs(module: "LibraryModule")

This returns docs matching your exact `mix.lock` version — faster, more accurate, zero web tokens. Only fall through to web search if Tidewave is unavailable or the topic needs community discussion (gotchas, real-world patterns, comparisons).

1. Query Decomposition (CRITICAL — before any search)

**NEVER pass raw $ARGUMENTS into WebSearch.** Decompose first:

  • If `$ARGUMENTS` < 30 words and focused → use as single query
  • If `$ARGUMENTS` > 30 words or multi-topic → extract 2-4 queries

Each query: max 10 words, targets ONE specific aspect.

Example:

Input: "detect files, export to md, feed database with embeddings,
        use ReqLLM for OpenAI API..."
Queries:
  1. "Elixir PDF text extraction library hex"
  2. "Ecto pgvector embeddings setup"
  3. "ReqLLM OpenAI embeddings Elixir"

2. Parallel Web Search

Search ALL decomposed queries in a SINGLE response (parallel):

WebSearch(query: "{query1} site:elixirforum.com OR site:hexdocs.pm OR site:github.com")
WebSearch(query: "{query2} site:hexdocs.pm OR site:elixirforum.com")

Deduplicate URLs across results. Discard clearly irrelevant hits.

3. Spawn Parallel Research Workers

Group URLs by topic cluster. Spawn **1-3 web-researcher agents in parallel** (one per topic cluster):

Agent(subagent_type: "phx:web-researcher", prompt: """
Research focus: {specific aspect from decomposed query}
Fetch these URLs:
- {url1}
- {url2}
- {url3}
Extract: code examples, patterns, gotchas, version compatibility.
Return 500-800 word summary.
""", run_in_background: true)

Rules:

  • **1 topic cluster = 1 agent** (don't mix unrelated URLs)
  • **Max 5 URLs per agent** (diminishing returns beyond that)
  • If only 1-3 URLs total, use single foreground agent
  • **Pass URLs explicitly** — agents should NOT re-search
  • Agents are haiku — cheap, fast, focused on extraction

4. Write Output (File-First — NEVER Dump Inline)

After ALL agents complete, synthesize summaries into ONE file. Target: ~5KB for topic research, ~3KB for library evaluations.

Create `.claude/research/{topic-slug}.md`:

# Research: {topic}

## Summary
{2-3 sentence answer combining all worker findings}

## Sources

### {Category}
- [{title}]({url}) - {key insight}

### Code Examples

```elixir
# From {source}: {what this demonstrates}
{code}

Recommendations

1. {recommendation with evidence} 2. {recommendation with evidence}

Watch Out For

  • {gotcha from forum/issues}
  • {version compatibility note}

### 5. After Research — STOP

**STOP and present the research summary.** Do NOT auto-transition.

Use `AskUserQuestion` to let the user choose next action:

- "Plan a feature based on this research" → `/phx:plan`
- "Investigate a specific finding" → `/phx:investigate`
- "Research more on a subtopic" → continue research
- "Done" → end

**NEVER auto-invoke `/phx:plan` or any other skill after research.**
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