Rechercher

PythonReactSEOPDF
OpenClaw

clawhub-recommender

Recommends popular and highly-rated skills from ClawHub based on user intent and conversation context. Use for: finding new skills, discovering popular tools, matching user needs to existing ClawHub skills.

brandon-zhanghaodong0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install brandon-zhanghaodong/clawhub-recommender

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

ClawHub Recommender

This skill helps users discover the best and most popular skills on ClawHub by analyzing their current conversation context and intent.

Core Functionality

The ClawHub Recommender identifies the user's needs and matches them with high-quality, community-vetted skills. It prioritizes skills with high download counts, star ratings, and official status to ensure reliability and performance.

When to Use
  • When a user expresses a need for a specific functionality (e.g., "I need to manage my GitHub issues").
  • When a user asks for general recommendations for popular or useful skills.
  • When a user is performing a task that could be significantly improved by an existing ClawHub skill.

Recommendation Workflow

To provide the most relevant recommendations, follow these steps:

  1. Analyze Context: Identify the user's current task, expressed pain points, or specific requests for new capabilities.
  2. Identify Intent: Map the user's need to a category such as Development, Productivity, Communication, or Search.
  3. Consult References: Read the following reference files to find the best matches:
    • /home/ubuntu/skills/clawhub-recommender/references/popular_skills.md: A curated list of top-rated skills with metrics and descriptions.
    • /home/ubuntu/skills/clawhub-recommender/references/recommendation_logic.md: Guidelines for matching intents to specific skill categories.
  4. Formulate Recommendation: Provide a clear and concise recommendation including the skill name, its popularity metrics, a brief description, and why it is a good fit for the current context.
  5. Provide Installation Details: Include the official link and the installation command (e.g., clawhub install <slug>).

Recommendation Guidelines

Category Recommended Skills Key Metrics
Development github, fast-io, capability-evolver High (Official), 35k+ Downloads
Productivity linear, byterover...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/brandon-zhanghaodong/clawhub-recommender
Version
—
Commit
83c3363a0fa9b1d27f2755652e83d22cce5229ef
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# ClawHub Recommender

This skill helps users discover the best and most popular skills on ClawHub by analyzing their current conversation context and intent.

## Core Functionality

The ClawHub Recommender identifies the user's needs and matches them with high-quality, community-vetted skills. It prioritizes skills with high download counts, star ratings, and official status to ensure reliability and performance.

### When to Use

- When a user expresses a need for a specific functionality (e.g., "I need to manage my GitHub issues").
- When a user asks for general recommendations for popular or useful skills.
- When a user is performing a task that could be significantly improved by an existing ClawHub skill.

## Recommendation Workflow

To provide the most relevant recommendations, follow these steps:

1. **Analyze Context**: Identify the user's current task, expressed pain points, or specific requests for new capabilities.
2. **Identify Intent**: Map the user's need to a category such as Development, Productivity, Communication, or Search.
3. **Consult References**: Read the following reference files to find the best matches:
   - `/home/ubuntu/skills/clawhub-recommender/references/popular_skills.md`: A curated list of top-rated skills with metrics and descriptions.
   - `/home/ubuntu/skills/clawhub-recommender/references/recommendation_logic.md`: Guidelines for matching intents to specific skill categories.
4. **Formulate Recommendation**: Provide a clear and concise recommendation including the skill name, its popularity metrics, a brief description, and why it is a good fit for the current context.
5. **Provide Installation Details**: Include the official link and the installation command (e.g., `clawhub install <slug>`).

## Recommendation Guidelines

| Category | Recommended Skills | Key Metrics |
| :--- | :--- | :--- |
| **Development** | `github`, `fast-io`, `capability-evolver` | High (Official), 35k+ Downloads |
| **Productivity** | `linear`, `byterover`...

Skills associés

OpenClaw

bambu-studio-ai

heyixuan2

Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...

OpenClaw

geo-optimization

capt-marbles

Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...

OpenClaw

0protocol

0isone

Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.

OpenClaw

0x0-messenger

eijiac24

Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.