skill-market
- Repo stars 435
- Author repo nvim
Market Skill
Thin wrapper that routes market sizing research requests to the market-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
/marketcommand with task number - User runs
/researchon a founder task withtask_type: "market"
Implicit Invocation (during task implementation)
When an implementing agent encounters any of these patterns:
Plan step language patterns:
- "Analyze market size"
- "Calculate TAM/SAM/SOM"
- "Market sizing analysis"
- "Estimate addressable market"
Target mentions:
- "TAM", "SAM", "SOM"
- "total addressable market"
- "market opportunity"
- "market sizing"
When NOT to trigger
Do not invoke for:
- Competitive analysis (use skill-analyze)
- GTM strategy (use skill-strategy)
- General business research (use skill-researcher)
- Revenue projections (not market sizing)
Execution Flow
Stage 1: Input Validation
Validate required inputs:
task_number- Must be provided and exist in state.jsonindustry- Optional, stringsegment- Optional, stringmode- Optional, one of: VALIDATE, SIZE, SEGMENT, DEFEND
# 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 $task_number not found"
fi
# Extract fields
task_type=$(echo "$task_data" | jq -r '.task_type // "founder"')
status=$(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
VALIDATE|SIZE|SEGMENT|DEFEND) ;;
*) return error "Invalid mode: $mode. Must be VALIDATE, SIZE, SEGMENT, or DEFEND" ;;
esac
fi
Stage 2: Preflight Status Update
Update task status to "researching" BEFORE invoking subagent.
Update state.json:
jq --arg ts "$(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: $sid
}' specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
Update TODO.md: Use Edit tool to change status marker to [RESEARCHING].
Stage 3: Create Postflight Marker
padded_num=$(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-market",
"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:
{
"task_context": {
"task_number": N,
"project_name": "{project_name}",
"description": "{description}",
"task_type": "founder",
"task_type": "market"
},
"forcing_data": {
"mode": "{pre_gathered_mode}",
"problem": "{pre_gathered_problem}",
"target_entity": "{pre_gathered_target}",
"geography": "{pre_gathered_geography}",
"price_point": "{pre_gathered_price_point}",
"gathered_at": "{timestamp}"
},
"industry": "optional industry hint",
"segment": "optional segment hint",
"mode": "VALIDATE|SIZE|SEGMENT|DEFEND 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", "market", "skill-market"]
}
}
Note: If forcing_data is present from STAGE 0 of /market 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 Agent tool to spawn the agent.
Required Tool Invocation:
Tool: Agent (NOT Skill, NOT Plan)
Parameters:
- subagent_type: "market-agent"
- prompt: [Include task_context, forcing_data, industry, segment, mode, metadata_file_path, metadata]
- description: "Market sizing research with TAM/SAM/SOM"
The agent will:
- Use pre-gathered forcing_data if available (skip already-answered questions)
- Present mode selection only if not pre-selected
- Ask follow-up forcing questions for details not in forcing_data
- Create research report at specs/{NNN}_{SLUG}/reports/
- Write metadata file
- Return brief text summary
Stage 5b: Self-Execution Fallback
CRITICAL: If you performed the work above WITHOUT using the Agent tool (i.e., you read files,
wrote artifacts, or updated metadata directly instead of spawning a subagent), you MUST write a
.return-meta.json file now before proceeding to postflight. Use the schema from
return-metadata-file.md with the appropriate status value for this operation.
If you DID use the Agent tool, skip this stage -- the subagent already wrote the metadata.
Postflight (ALWAYS EXECUTE)
The following stages MUST execute after work is complete, whether the work was done by a subagent or inline (Stage 5b). Do NOT skip these stages for any reason.
Stage 6: Read Metadata File
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:
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: $ts
}' specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
Update TODO.md: Use Edit tool to change status marker to [RESEARCHED].
Stage 8: Link Artifacts
Add artifact to state.json with summary.
IMPORTANT: Use two-step jq pattern to avoid escaping issues.
if [ -n "$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: Link artifact using count-aware format.
Apply the four-case Edit logic from @.claude/context/patterns/artifact-linking-todo.md
with field_name=**Research**, next_field=**Plan**.
Stage 9: Git Commit
git add -A
git commit -m "task ${task_number}: complete research
Session: ${session_id}
Stage 10: Cleanup
rm -f "specs/${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
Market sizing research completed for task {N}:
- Mode: {mode}, {questions_asked} forcing questions completed
- Problem: {brief problem statement}
- Entity count: {value} from {source}
- 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:
Market sizing research completed for task 234:
- Mode: SIZE, 8 forcing questions completed
- Problem: Streamline deploy coordination for mid-market SaaS
- Entity count: 500,000 mid-market SaaS companies globally (Gartner)
- Pre-gathered data used: yes (4 questions from STAGE 0)
- Research report: specs/234_market_sizing_fintech/reports/01_market-sizing.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.
- Fluxly category
- Other
- Author-declared agents
- No explicit declaration found; this is not inferred or tested compatibility
- Static check
- 88 / 100 · heuristic scan, not runtime safety proof
- Author / version / license
- @benbrastmckie · no license declared
- Fluxly token estimate
- Lean
- Fluxly setup estimate
- Guided setup
- External API key
- No requirement detected
- Detected OS requirements
- Unspecified
- Runtime requirements
- Unspecified
- Detected file/system behavior
-
- Read-only
- Write / modify
- Shell exec
- Detected network behavior
- Local-only
- Install commands
- None (reference only)
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
The current SKILL.md does not define a fixed output example. Reference (do not load eagerly): Path: .claude/context/formats/subagent-return.md Purpose: Return validation
This skill activates when:
User explicitly runs /market command with task number User runs /research on a founder task with tasktype: "market"
When an implementing agent encounters any of these patterns: Plan step language patterns: "Analyze market size"
Do not invoke for: Competitive analysis (use skill-analyze) GTM strategy (use skill-strategy)
Execution Flow
# Market Skill
Thin wrapper that routes market sizing research requests to the `market-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 `/market` command with task number
- User runs `/research` on a founder task with `task_type: "market"`
### Implicit Invocation (during task implementation)
When an implementing agent encounters any of these patterns:
**Plan step language patterns**:
- "Analyze market size"
- "Calculate TAM/SAM/SOM"
- "Market sizing analysis"
- "Estimate addressable market"
**Target mentions**:
- "TAM", "SAM", "SOM"
- "total addressable market"
- "market opportunity"
- "market sizing"
### When NOT to trigger
Do not invoke for:
- Competitive analysis (use skill-analyze)
- GTM strategy (use skill-strategy)
- General business research (use skill-researcher)
- Revenue projections (not market sizing)
---
## Execution Flow
### Stage 1: Input Validation
Validate required inputs:
- `task_number` - Must be provided and exist in state.json
- `industry` - Optional, string
- `segment` - Optional, string
- `mode` - Optional, one of: VALIDATE, SIZE, SEGMENT, DEFEND
```bash
# Lookup task
task_data=$(jq -r --argjson num "$task_number" \
'.active_projects[] | select(.project_number == $num)' \
specs/state.json)
… Author text anchors workflow facts; Fluxly only indexes current sections, terms, files, and commands.
sections -> Context Pointers → Trigger Conditions → Direct Invocation → Implicit Invocation (during task implementation) → When NOT to trigger → Execution Flow
terms -> IMPORTANT · Plan step language patterns · Target mentions · Update state.json · Update TODO.md · Note · CRITICAL · Agent
files/cmd -> market-agent · .claude/context/formats/subagent-return.md · /market · /research · tasktype: "market" · tasknumber · industry · segment
body sha256 -> 8becd5986535
Decide Fit First
Design Intent
How To Use It
Boundaries And Review