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phx:research

**phx:research** is a Claude Code skill for investigating Elixir and Phoenix topics by searching HexDocs, ElixirForum, and GitHub. Use it when learning about libraries, design patterns, or comparing architectural approaches, and optionally evaluate Hex packages with the --library flag to receive structured assessment output saved to a markdown file.

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git clone --depth 1 https://github.com/oliver-kriska/claude-elixir-phoenix /tmp/phx-research && cp -r /tmp/phx-research/plugins/elixir-phoenix/skills/research ~/.claude/skills/phx-research
Después abre una sesión nueva de Claude Code; el skill carga automáticamente.

SKILL.md

# 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: "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`:

```markdown
# 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.**