Skill Analytics v2.0

Install: INLINECODE0

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
INLINECODE2	Rotation day, last run, recommendation IDs
INLINECODE3

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. 1. Read INLINECODE7
2. Read INLINECODE8
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

CODEBLOCK0

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

Data Collection

Use built-in tools only (webfetch, websearch):

CODEBLOCK1

Extract: downloads, installs, stars, version count.

No CLI tools, no npm packages, no credentials.

Output Format

CODEBLOCK2

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. 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 — webfetch and websearch
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 INLINECODE9

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:
CODEBLOCK3