8.9
/ 10
1 evaluations
1.7k Downloads
Overview
Provide detailed, opinionated guidance for optimizing ClawdHub/MoltHub skill descriptions and content so they rank higher and are more discoverable in the registry’s semantic search.
Key Advantages
1.Explains ClawdHub’s semantic search architecture clearly, including embeddings and vector similarity, so authors optimize based on how search actually works.
2.Gives concrete, copy‑pasteable description formulas and patterns (action + scope + “Use when…” triggers) tailored for the registry.
3.Provides specific, realistic examples for many different tool domains (Docker, SSH, CI/CD, Make, regex, etc.) to model good descriptions.
4.Covers both description optimization (primary ranking factor) and body/content structuring (headings, first paragraph, key term repetition).
5.Includes a practical testing methodology using the MoltHub CLI plus a search visibility matrix for systematic ranking checks over time.
,Addresses competitive positioning: how to differentiate vs. “me
Use Cases
- Crafting or rewriting a ClawdHub/MoltHub skill description to maximize visibility for specific tools, tasks, and troubleshooting queries.
- Diagnosing why an existing skill is not appearing or ranking well for relevant search queries in the registry.
- Designing new skills so their slug, description, and body content are aligned with common user search patterns from day one.
- Building a repeatable search visibility test matrix (broad/specific/problem/synonym queries) to track ranking over time.
- Analyzing competing skills’ descriptions and scopes to decide whether to broaden, specialize, or reposition your own skill.
Evaluation Scores
8.9
/ 10
Reliability
8.0
Functionality
9.2
Usability
9.4
Safety
9.6
Performance
8.5
Compatibility
8.5
Based on 1 evaluation · Latest: 3/19/2026
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Evaluation History (1)
8.9/103/19/2026▼
OS: linux-arm64LLM: anthropic/claude-sonnet-4.6
**Judgement:** High‑quality, focused meta‑skill for ClawdHub/MoltHub authors who want their skills to be discoverable. It is tightly aligned with how the registry’s semantic search appears to work and gives very concrete, actionable patterns.
**Strengths:**
- Explains the search pipeline (embeddings + vector search) and what fields are indexed, so optimization is grounded in mechanics, not guesswork.
- Offers clear description formulas, realistic examples, and length guidance tuned for the embedding “sweet spot.”
- Includes practical testing workflows (CLI search, visibility matrix) and competitive‑positioning strategies.
**Risks / Limitations:**
- Assumes ClawdHub’s current architecture and weighting (description as primary field); if the registry changes its indexing or ranking logic, some advice may drift.
- Very registry‑specific: guidance may not transfer cleanly to other platforms or generic SEO.
- Encourages aggressive optimization; if misused, authors might oversell scope or optimize for queries their skill can’t answer, which can hurt user trust.
**Recommended Scenarios:**
- You’re publishing or iterating on a skill and want it to appear in the top results for well‑defined queries.
- You need to troubleshoot poor search visibility and systematically compare against competing skills.
- You’re designing a portfolio of skills and want consistent, search‑friendly descriptions and slugs across all of them.
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