skill-researcher
Conduct general research using web search, documentation, and codebase exploration. Invoke for general research tasks.
Best use case
skill-researcher is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Conduct general research using web search, documentation, and codebase exploration. Invoke for general research tasks.
Teams using skill-researcher should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/skill-researcher/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How skill-researcher Compares
| Feature / Agent | skill-researcher | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Conduct general research using web search, documentation, and codebase exploration. Invoke for general research tasks.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Researcher Skill
Thin wrapper that delegates general research to `general-research-agent` subagent.
**IMPORTANT**: This skill implements the skill-internal postflight pattern. After the subagent returns,
this skill handles all postflight operations (status update, artifact linking, git commit) before returning.
This eliminates the "continue" prompt issue between skill return and orchestrator.
## Context References
Reference (do not load eagerly):
- Path: `.claude/context/formats/return-metadata-file.md` - Metadata file schema
- Path: `.claude/context/patterns/postflight-control.md` - Marker file protocol
- Path: `.claude/context/patterns/file-metadata-exchange.md` - File I/O helpers
- Path: `.claude/context/patterns/jq-escaping-workarounds.md` - jq escaping patterns (Issue #1132)
Note: This skill is a thin wrapper with internal postflight. Context is loaded by the delegated agent.
## Trigger Conditions
This skill activates when:
- Task language is "general", "meta", "markdown", "latex", or "typst"
- Research is needed for implementation planning
- Documentation or external resources need to be gathered
---
## Execution Flow
### Stage 1: Input Validation
Validate required inputs:
- `task_number` - Must be provided and exist in state.json
- `focus_prompt` - Optional focus for research direction
```bash
# Lookup task
task_data=$(jq -r --argjson num "$task_number" \
'.active_projects[] | select(.project_number == $num)' \
specs/state.json)
# Validate exists
if [ -z "$task_data" ]; then
return error "Task $task_number not found"
fi
# Extract fields
language=$(echo "$task_data" | jq -r '.language // "general"')
status=$(echo "$task_data" | jq -r '.status')
project_name=$(echo "$task_data" | jq -r '.project_name')
description=$(echo "$task_data" | jq -r '.description // ""')
```
---
### Stage 2: Preflight Status Update
Update task status to "researching" BEFORE invoking subagent.
**Update state.json**:
```bash
jq --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" \
--arg status "researching" \
--arg sid "$session_id" \
'(.active_projects[] | select(.project_number == '$task_number')) |= . + {
status: $status,
last_updated: $ts,
session_id: $sid
}' specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
```
**Update TODO.md**: Use Edit tool to change status marker from `[NOT STARTED]` or `[RESEARCHED]` to `[RESEARCHING]`.
---
### Stage 3: Create Postflight Marker
Create the marker file to prevent premature termination:
```bash
# Ensure task directory exists
padded_num=$(printf "%03d" "$task_number")
mkdir -p "specs/${padded_num}_${project_name}"
cat > "specs/${padded_num}_${project_name}/.postflight-pending" << EOF
{
"session_id": "${session_id}",
"skill": "skill-researcher",
"task_number": ${task_number},
"operation": "research",
"reason": "Postflight pending: status update, artifact linking, git commit",
"created": "$(date -u +%Y-%m-%dT%H:%M:%SZ)",
"stop_hook_active": false
}
EOF
```
---
### Stage 3a: Read Artifact Number
Read `next_artifact_number` from state.json (or fall back to directory scanning for legacy tasks):
```bash
# Read next_artifact_number from state.json
artifact_number=$(jq -r --argjson num "$task_number" \
'.active_projects[] | select(.project_number == $num) | .next_artifact_number // 1' \
specs/state.json)
# Fallback for legacy tasks: count existing artifacts
if [ "$artifact_number" = "null" ] || [ -z "$artifact_number" ]; then
padded_num=$(printf "%03d" "$task_number")
count=$(ls "specs/${padded_num}_${project_name}/reports/"*[0-9][0-9]*.md 2>/dev/null | wc -l)
artifact_number=$((count + 1))
fi
artifact_padded=$(printf "%02d" "$artifact_number")
```
---
### Stage 4: Prepare Delegation Context
Prepare delegation context for the subagent:
```json
{
"session_id": "sess_{timestamp}_{random}",
"delegation_depth": 1,
"delegation_path": ["orchestrator", "research", "skill-researcher"],
"timeout": 3600,
"task_context": {
"task_number": N,
"task_name": "{project_name}",
"description": "{description}",
"language": "{language}"
},
"artifact_number": "{artifact_number from Stage 3a}",
"focus_prompt": "{optional focus}",
"metadata_file_path": "specs/{NNN}_{SLUG}/.return-meta.json"
}
```
**Note**: The `artifact_number` field tells the agent which sequence number to use for artifact naming (e.g., `01`, `02`).
---
### Stage 5: Invoke Subagent
**CRITICAL**: You MUST use the **Task** tool to spawn the subagent.
**Required Tool Invocation**:
```
Tool: Task (NOT Skill)
Parameters:
- subagent_type: "general-research-agent"
- prompt: [Include task_context, delegation_context, focus_prompt, metadata_file_path]
- description: "Execute research for task {N}"
```
**DO NOT** use `Skill(general-research-agent)` - this will FAIL.
The subagent will:
- Search codebase for related patterns
- Search web for documentation and examples
- Analyze findings and synthesize recommendations
- Create research report in `specs/{NNN}_{SLUG}/reports/`
- Write metadata to `specs/{NNN}_{SLUG}/.return-meta.json`
- Return a brief text summary (NOT JSON)
---
### Stage 6: Parse Subagent Return (Read Metadata File)
After subagent returns, read the metadata file:
```bash
metadata_file="specs/${padded_num}_${project_name}/.return-meta.json"
if [ -f "$metadata_file" ] && jq empty "$metadata_file" 2>/dev/null; then
status=$(jq -r '.status' "$metadata_file")
artifact_path=$(jq -r '.artifacts[0].path // ""' "$metadata_file")
artifact_type=$(jq -r '.artifacts[0].type // ""' "$metadata_file")
artifact_summary=$(jq -r '.artifacts[0].summary // ""' "$metadata_file")
else
echo "Error: Invalid or missing metadata file"
status="failed"
fi
```
---
### Stage 7: Update Task Status (Postflight)
If status is "researched", update state.json and TODO.md:
**Update state.json** (includes incrementing `next_artifact_number`):
```bash
# Step 1: Update status and timestamps
jq --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" \
--arg status "researched" \
'(.active_projects[] | select(.project_number == '$task_number')) |= . + {
status: $status,
last_updated: $ts,
researched: $ts
}' specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
# Step 2: Increment next_artifact_number (research advances the sequence)
jq '(.active_projects[] | select(.project_number == '$task_number')).next_artifact_number =
(((.active_projects[] | select(.project_number == '$task_number')).next_artifact_number // 1) + 1)' \
specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
```
**Note**: Research is the only operation that increments `next_artifact_number`. Plan and implement use `(current - 1)` to stay in the same "round".
**Update TODO.md**: Use Edit tool to change status marker from `[RESEARCHING]` to `[RESEARCHED]`.
**On partial/failed**: Keep status as "researching" for resume.
---
### Stage 8: Link Artifacts
Add artifact to state.json with summary.
**IMPORTANT**: Use two-step jq pattern to avoid Issue #1132 escaping bug. See `jq-escaping-workarounds.md`.
```bash
if [ -n "$artifact_path" ]; then
# Step 1: Filter out existing research artifacts (use "| not" pattern to avoid != escaping - Issue #1132)
jq '(.active_projects[] | select(.project_number == '$task_number')).artifacts =
[(.active_projects[] | select(.project_number == '$task_number')).artifacts // [] | .[] | select(.type == "research" | not)]' \
specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
# Step 2: Add new research artifact
jq --arg path "$artifact_path" \
--arg type "$artifact_type" \
--arg summary "$artifact_summary" \
'(.active_projects[] | select(.project_number == '$task_number')).artifacts += [{"path": $path, "type": $type, "summary": $summary}]' \
specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
fi
```
**Update TODO.md**: Add research artifact link using count-aware format.
See `.claude/rules/state-management.md` "Artifact Linking Format" for canonical rules. Use Edit tool:
1. **Read existing task entry** to detect current research links
2. **If no `- **Research**:` line exists**: Insert inline format:
```markdown
- **Research**: [MM_{short-slug}.md]({artifact_path})
```
3. **If existing inline (single link)**: Convert to multi-line:
```markdown
old_string: - **Research**: [existing.md](existing/path)
new_string: - **Research**:
- [existing.md](existing/path)
- [MM_{short-slug}.md]({artifact_path})
```
4. **If existing multi-line**: Append new item before next field:
```markdown
old_string: - [last-item.md](last/path)
- **Plan**:
new_string: - [last-item.md](last/path)
- [MM_{short-slug}.md]({artifact_path})
- **Plan**:
```
---
### Stage 9: Git Commit
Commit changes with session ID:
```bash
git add -A
git commit -m "task ${task_number}: complete research
Session: ${session_id}
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>"
```
---
### Stage 10: Cleanup
Remove marker and metadata files:
```bash
rm -f "specs/${padded_num}_${project_name}/.postflight-pending"
rm -f "specs/${padded_num}_${project_name}/.postflight-loop-guard"
rm -f "specs/${padded_num}_${project_name}/.return-meta.json"
```
---
### Stage 11: Return Brief Summary
Return a brief text summary (NOT JSON). Example:
```
Research completed for task {N}:
- Found {count} relevant patterns and resources
- Identified implementation approach: {approach}
- Created report at specs/{NNN}_{SLUG}/reports/MM_{short-slug}.md
- Status updated to [RESEARCHED]
- Changes committed
```
---
## Error Handling
### Input Validation Errors
Return immediately with error message if task not found.
### Metadata File Missing
If subagent didn't write metadata file:
1. Keep status as "researching"
2. Do not cleanup postflight marker
3. Report error to user
### Git Commit Failure
Non-blocking: Log failure but continue with success response.
### Subagent Timeout
Return partial status if subagent times out (default 3600s).
Keep status as "researching" for resume.
---
## MUST NOT (Postflight Boundary)
After the agent returns, this skill MUST NOT:
1. **Edit source files** - All research work is done by agent
2. **Run build/test commands** - Verification is done by agent
3. **Use MCP/WebSearch tools** - Research tools are for agent use only
4. **Analyze or grep source** - Analysis is agent work
5. **Write reports** - Artifact creation is agent work
The postflight phase is LIMITED TO:
- Reading agent metadata file
- Updating state.json via jq
- Updating TODO.md status marker via Edit
- Linking artifacts in state.json
- Git commit
- Cleanup of temp/marker files
Reference: @.claude/context/standards/postflight-tool-restrictions.md
---
## Return Format
This skill returns a **brief text summary** (NOT JSON). The JSON metadata is written to the file and processed internally.
Example successful return:
```
Research completed for task 412:
- Found 8 relevant patterns for implementation
- Identified lazy context loading and skill-to-agent mapping patterns
- Created report at specs/412_general_research/reports/MM_{short-slug}.md
- Status updated to [RESEARCHED]
- Changes committed with session sess_1736700000_abc123
```
Example partial return:
```
Research partially completed for task 412:
- Found 4 codebase patterns
- Web search failed due to network error
- Partial report created at specs/412_general_research/reports/MM_{short-slug}.md
- Status remains [RESEARCHING] - run /research 412 to continue
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