| name | elixir-phoenix-research |
| description | Research Phoenix topics or evaluate Hex libraries from primary sources. |
| metadata | {"short-description":"Research Phoenix topics and libraries"} |
Research Elixir Topic
Research a topic by searching the web and fetching relevant sources efficiently.
Usage
$elixir-phoenix-research Oban unique jobs best practices
$elixir-phoenix-research LiveView file upload with progress
$elixir-phoenix-research --library permit
Arguments
$ARGUMENTS = Research topic/question. Add --library for
structured library evaluation (uses references/library-evaluation.md
template).
Iron Laws
- Write output to file, never dump inline — Research output floods conversation and loses reference for future sessions
- Stop after research — never auto-transition — User decides next step
- Prefer official sources over blog posts — HexDocs and ElixirForum have version-specific context
- One document per research question — No fragmented files
- NEVER pass raw user input as a web 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"):
- Read
references/library-evaluation.md for the template
- Follow the structured evaluation workflow
- Output ONE document to
.codex/research/{lib}-evaluation.md
- Skip the general research workflow below
Workflow
0. Pre-flight Checks
Cache check: Check if .codex/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 web search. 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):
web.search_query("{query1} site:elixirforum.com OR site:hexdocs.pm OR site:github.com")
web.search_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):
For each topic cluster, delegate one focused web research agent with explicit URLs,
required extraction fields (examples, patterns, gotchas, version compatibility), and
a concise summary target (500-800 words).
Each agent writes results to a deterministic path:
.codex/research/{cluster-slug}/worker-{n}.md.
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 .codex/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
- {recommendation with evidence}
- {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 `ask the user directly` to let the user choose next action:
- "Plan a feature based on this research" → `$elixir-phoenix-plan`
- "Investigate a specific finding" → `$elixir-phoenix-investigate`
- "Research more on a subtopic" → continue research
- "Done" → end
**NEVER auto-invoke `$elixir-phoenix-plan` or any other skill after research.**