skill-analyze
Competitive landscape research with positioning maps
Best use case
skill-analyze is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Competitive landscape research with positioning maps
Teams using skill-analyze 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-analyze/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How skill-analyze Compares
| Feature / Agent | skill-analyze | 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?
Competitive landscape research with positioning maps
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.
SKILL.md Source
# Analyze Skill
Thin wrapper that routes competitive analysis research requests to the `analyze-agent`.
**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.
## Context Pointers
Reference (do not load eagerly):
- Path: `.claude/context/formats/subagent-return.md`
- Purpose: Return validation
- Load at: Subagent execution only
Note: This skill is a thin wrapper. Context is loaded by the delegated agent, not this skill.
## Trigger Conditions
This skill activates when:
### Direct Invocation
- User explicitly runs `/analyze` command with task number
- User runs `/research` on a founder task with `task_type: "analyze"`
### Implicit Invocation (during task implementation)
When an implementing agent encounters any of these patterns:
**Plan step language patterns**:
- "Analyze competitors"
- "Competitive landscape"
- "Map the competition"
- "Positioning analysis"
**Target mentions**:
- "competitive analysis"
- "competitor profiles"
- "positioning map"
- "battle cards"
- "competitive intelligence"
### When NOT to trigger
Do not invoke for:
- Market sizing (use skill-market)
- GTM strategy (use skill-strategy)
- General business research (use skill-researcher)
- Product feature comparison (not strategic competitive analysis)
---
## Execution Flow
### Stage 1: Input Validation
Validate required inputs:
- `task_number` - Must be provided and exist in state.json
- `competitors` - Optional, comma-separated string or array
- `mode` - Optional, one of: LANDSCAPE, DEEP, POSITION, BATTLE
```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 "$task_data" | jq -r '.language // "founder"')
status=$(echo "$task_data" | jq -r '.status')
project_name=$(echo "$task_data" | jq -r '.project_name')
description=$(echo "$task_data" | jq -r '.description // ""')
# Extract pre-gathered forcing_data (if present)
forcing_data=$(echo "$task_data" | jq -r '.forcing_data // null')
pre_gathered_mode=$(echo "$forcing_data" | jq -r '.mode // null' 2>/dev/null)
# Validate mode if provided
if [ -n "$mode" ]; then
case "$mode" in
LANDSCAPE|DEEP|POSITION|BATTLE) ;;
*) return error "Invalid mode: $mode. Must be LANDSCAPE, DEEP, POSITION, or BATTLE" ;;
esac
fi
```
---
### Stage 2: Preflight Status Update
Update task status to "researching" BEFORE invoking subagent.
**Update state.json**:
```bash
jq --arg ts "$(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: $sid
}' specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
```
**Update TODO.md**: Use Edit tool to change status marker to `[RESEARCHING]`.
---
### Stage 3: Create Postflight Marker
```bash
padded_num=$(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-analyze",
"task_number": ${task_number},
"operation": "research",
"reason": "Postflight pending: status update, artifact linking, git commit",
"created": "$(date -u +%Y-%m-%dT%H:%M:%SZ)"
}
EOF
```
---
### Stage 4: Prepare Delegation Context
Include pre-gathered forcing_data when available:
```json
{
"task_context": {
"task_number": N,
"project_name": "{project_name}",
"description": "{description}",
"language": "founder",
"task_type": "analyze"
},
"forcing_data": {
"mode": "{pre_gathered_mode}",
"product": "{pre_gathered_product}",
"known_competitors": "{pre_gathered_competitors}",
"competitive_advantage": "{pre_gathered_advantage}",
"decision_factors": "{pre_gathered_factors}",
"gathered_at": "{timestamp}"
},
"competitors": ["optional", "competitor", "list"],
"mode": "LANDSCAPE|DEEP|POSITION|BATTLE or use forcing_data.mode",
"metadata_file_path": "specs/{NNN}_{SLUG}/.return-meta.json",
"metadata": {
"session_id": "sess_{timestamp}_{random}",
"delegation_depth": 1,
"delegation_path": ["orchestrator", "analyze", "skill-analyze"]
}
}
```
**Note**: If `forcing_data` is present from STAGE 0 of /analyze command, pass it to the agent.
The agent will use pre-gathered data and only ask follow-up questions for missing details.
---
### Stage 5: Invoke Agent
**CRITICAL**: You MUST use the **Task** tool to spawn the agent.
**Required Tool Invocation**:
```
Tool: Task (NOT Skill)
Parameters:
- subagent_type: "analyze-agent"
- prompt: [Include task_context, forcing_data, competitors, mode, metadata_file_path, metadata]
- description: "Competitive analysis research with positioning data"
```
The agent will:
- Use pre-gathered forcing_data if available (skip already-answered questions)
- Present mode selection only if not pre-selected
- Identify and categorize competitors (using known_competitors as starting point)
- Use forcing questions for per-competitor analysis
- Gather positioning dimensions
- Create research report at specs/{NNN}_{SLUG}/reports/
- Write metadata file
- Return brief text summary
---
### Stage 6: Parse Subagent Return
```bash
padded_num=$(printf "%03d" "$task_number")
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
status="failed"
fi
```
---
### Stage 7: Update Task Status (Postflight)
If status is "researched", update state.json and TODO.md.
**Update state.json**:
```bash
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: $ts
}' specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
```
**Update TODO.md**: Use Edit tool to change status marker to `[RESEARCHED]`.
---
### Stage 8: Link Artifacts
Add artifact to state.json with summary.
**IMPORTANT**: Use two-step jq pattern to avoid escaping issues.
```bash
if [ -n "$artifact_path" ]; then
# Step 1: Filter out existing research artifacts (use "| not" pattern)
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": $summary}]' \
specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
fi
```
**Update TODO.md**: Add research artifact link using count-aware format.
**Strip specs/ prefix for TODO.md** (TODO.md is inside specs/): `todo_link_path="${artifact_path#specs/}"`
Use count-aware artifact linking format per `.claude/rules/state-management.md` "Artifact Linking Format".
---
### Stage 9: Git Commit
```bash
git add -A
git commit -m "task ${task_number}: complete research
Session: ${session_id}
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>"
```
---
### Stage 10: Cleanup
```bash
rm -f "specs/${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
```
Competitive analysis research completed for task {N}:
- Mode: {mode}, {questions_asked} forcing questions completed
- Direct competitors: {list}
- Indirect competitors: {list}
- Positioning axes: {axis1}, {axis2}
- Pre-gathered data used: {yes/no}
- Research report: specs/{NNN}_{SLUG}/reports/01_{short-slug}.md
- Status updated to [RESEARCHED]
- Changes committed
- Next: Run /plan {N} to create implementation plan
```
---
## Return Format
Brief text summary (NOT JSON).
Expected successful return:
```
Competitive analysis research completed for task 234:
- Mode: POSITION, 7 forcing questions completed
- Direct competitors: Stripe, Square, Adyen
- Indirect competitors: Spreadsheets, legacy bank integrations
- Positioning axes: enterprise vs SMB, API-first vs integrated
- Pre-gathered data used: yes (4 questions from STAGE 0)
- Research report: specs/234_competitive_analysis_fintech/reports/01_competitive-analysis.md
- Status updated to [RESEARCHED]
- Changes committed with session sess_1736700000_abc123
- Next: Run /plan 234 to create implementation plan
```
---
## Error Handling
### Input Validation Errors
Return immediately if task not found.
### Metadata File Missing
Keep status as "researching" for resume.
### User Abandonment
Return partial status with progress made.
### Git Commit Failure
Non-blocking: Log failure but continue.Related Skills
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