Skill Analytics

Monitor ClawHub skill performance with file-based state tracking. Fetches public stats via web_fetch, tracks recommendations and their outcomes, avoids repetitive suggestions. Day-of-week rotation for varied analysis focus. Use when: (1) cron fires daily analytics, (2) user asks about skill performance, (3) adoption strategy or growth advice, (4) 'how is my skill doing', 'skill stats'. Homepage: https://clawhub.ai/skills/skill-analytics

Skill Analytics v2.0

Install: clawhub install skill-analytics

ClawHub skill portfolio monitoring with state tracking. Remembers what it recommended.

Language

Detect from user's message language. Default: English.

State Files

All state stored in memory/skill-analytics/:

File	Purpose
state.json	Rotation day, last run, recommendation IDs
recommendations.md	Active recommendations with status
ideas-tried.md	Topics already covered (avoid repeats)

Create directory and files on first run if they don't exist.

Day-of-Week Rotation

Use day-of-week (Monday=1, Sunday=7) from state.json (not current calendar day — track continuously):

Day	Focus
1	Adoption Funnel
2	Competitive Analysis
3	Content & Copy
4	Feature Gap
5	Monetization
6	Cross-Promotion
7	Wildcard

After each run: increment day in state.json, wrap at 7.

Anti-Repetition Protocol

Before generating recommendations:

1. Read memory/skill-analytics/recommendations.md
2. Read memory/skill-analytics/ideas-tried.md
3. Skip any recommendation already listed as "Pending" or already tried
4. Only generate NEW recommendations
5. If no new insights exist: say "No new recommendations this run. Previous {N} are still pending."

Recommendation Format

| # | Recommendation | Date | Status | Result |
|---|---------------|------|--------|--------|
| 1 | **Short title** — one-line action | YYYY-MM-DD | Pending | - |

After user marks as done: change Status to "✅ Completed" with Result.

Data Collection

Use built-in tools only (web_fetch, web_search):

web_fetch https://clawhub.ai/tommot2/{slug}
web_search "clawhub {skill category}"

Extract: downloads, installs, stars, version count.

No CLI tools, no npm packages, no credentials.

Output Format

## 📊 Skill Analytics — {date}

### Dashboard
| Skill | DL | ⭐ | Versions |
|-------|---:|:--:|:--------:|
| ... | ... | ... | ... |

### Focus: {day focus}
{2-3 paragraphs of actual analysis. Concrete numbers.}

### New Recommendations
1. **{title}** — {one-line action}
   - Effekt: {estimated}
   - Innsats: {Lav/Middels/Høy}

### Previous Status
- Pending: {N} recommendations
- Completed: {N} recommendations
- Skipped (repeats): {N}

### Next Run
Focus: Day {N+1} — {focus}

Phase Indicator

Based on total installs across portfolio:

Phase	Installs	Focus
🌱 Seed	0-10	Visibility
🌿 Grow	10-100	Conversion
🌳 Scale	100-1000	Monetization
🏢 Sustain	1000+	Retention

Quick Commands

User says	Action
"skill stats"	Quick dashboard
"skill analytics"	Full analysis
"fulført #3"	Mark recommendation #3 as completed
"alle anbefalinger"	Show all with status

Guidelines for Agent

1. Always read state before running — check recommendations and ideas-tried
2. Write state after running — update state.json, add new recommendations
3. Never repeat — check ideas-tried.md before suggesting
4. Use built-in tools only — web_fetch and web_search
5. No personal data in searches — only public ClawHub data
6. Keep output concise — max 40 lines per report
7. Language follows user

What This Skill Does NOT Do

• Does NOT read MEMORY.md, SOUL.md, or other workspace files
• Does NOT access credentials or private data
• Does NOT use external CLI tools or npm packages
• Does NOT modify any files outside memory/skill-analytics/

More by TommoT2

• context-brief — Persistent context survival across sessions
• setup-doctor — Diagnose and fix OpenClaw setup issues
• tommo-skill-guard — Security scanner for installed skills

Install the full suite:

clawhub install skill-analytics context-brief setup-doctor tommo-skill-guard