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research

Research Elixir/Phoenix/Ecto topics or evaluate Hex libraries (--library)

Install / Use

npx skills add oliver-kriska/claude-elixir-phoenix --skill research

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

84/100

Supported Platforms

Universal

Our assessment of research

research scores 84/100 on our quality scale, 328th of 430 Education & Research skills we index.

Its SKILL.md is 4.7 KB long, well organised into 20 sections with 7 code examples: a solid amount of guidance for an agent.

It has 560 GitHub stars, a meaningful sign that others use it.

Substance
26/30
Structure
20/20
Description
12/15
Adoption
12/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 3 days ago, so research is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

research compared with similar skills

All 4 of these similar skills score higher than research; compare them before choosing.

SkillScoreStarsUpdatedFormat
research (this skill)by oliver-kriska845603d agoSKILL.md
Agent-Reachby Panniantong10091.6k20d agoCLAUDE.md
last30days-skillby mvanhorn10063.6k1d agoCLAUDE.md
algorithmic-artby anthropics100177.9k13d agoSKILL.md
pptxby anthropics100177.9k13d agoSKILL.md

Frequently asked questions

How do I install research?
Run npx skills add oliver-kriska/claude-elixir-phoenix --skill research. The install tabs above show the steps for each supported agent.
Which AI agents does research work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is research safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is research still maintained?
The repository was last updated 3 days ago, so research is actively maintained.

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)

Decompose $ARGUMENTS before searching — raw prose makes a poor query:

  • 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 focused on extraction, not synthesis

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.**

Related Skills

View on GitHub
GitHub Stars560
CategoryEducation
Updated3d ago
Forks44

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions