bambu-studio-ai
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...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install bowen31337/create-agent-skillsExaminez 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.
This skill provides guidance for creating effective skills.
Skills are modular, self-contained packages that extend Claude's capabilities by providing specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific domains or tasks—they transform Claude from a general-purpose agent into a specialized agent equipped with procedural knowledge that no model can fully possess.
The context window is a public good. Skills share the context window with everything else Claude needs: system prompt, conversation history, other Skills' metadata, and the actual user request.
Default assumption: Claude is already very smart. Only add context Claude doesn't already have. Challenge each piece of information: "Does Claude really need this explanation?" and "Does this paragraph justify its token cost?"
Prefer concise examples over verbose explanations.
Match the level of specificity to the task's fragility and variability:
High freedom (text-based instructions): Use when multiple approaches are valid, decisions depend on context, or heuristics guide the approach.
Medium freedom (pseudocode or scripts with parameters): Use when a preferred pattern exists, some variation is acceptable, or configuration affects behavior.
Low freedom (specific scripts, few parameters): Use when operations are fragile and error-prone, consistency is critical, or a specific sequence must be followed.
Think of Claude as exploring a path: a narrow bridge with cliffs needs specific guardrails (low freedom),...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
A comprehensive skill for creating effective Agent Skills - includes validation, initialization, and packaging tools that comply with the official Agent Skills specification.
init_skill.py: Initialize new skills from a template with proper structurequick_validate.py: Validate skills against the official Agent Skills specificationpackage_skill.py: Package skills into distributable .skill filespython scripts/init_skill.py my-new-skill --path ./skills
python scripts/quick_validate.py path/to/skill-folder
python scripts/package_skill.py path/to/skill-folder
pip install pyyaml)This repository uses GitHub Actions to automatically create releases when you push a version tag.
Create and push a version tag:
git tag -a v1.0.0 -m "Initial release"
git push origin v1.0.0
GitHub Actions will automatically:
.skill fileYou can also trigger a release manually from the GitHub Actions tab:
Apache License 2.0 - See LICENSE.txt for details.
# Skill Creator This skill provides guidance for creating effective skills. ## About Skills Skills are modular, self-contained packages that extend Claude's capabilities by providing specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific domains or tasks—they transform Claude from a general-purpose agent into a specialized agent equipped with procedural knowledge that no model can fully possess. ### What Skills Provide 1. Specialized workflows - Multi-step procedures for specific domains 2. Tool integrations - Instructions for working with specific file formats or APIs 3. Domain expertise - Company-specific knowledge, schemas, business logic 4. Bundled resources - Scripts, references, and assets for complex and repetitive tasks ## Core Principles ### Concise is Key The context window is a public good. Skills share the context window with everything else Claude needs: system prompt, conversation history, other Skills' metadata, and the actual user request. **Default assumption: Claude is already very smart.** Only add context Claude doesn't already have. Challenge each piece of information: "Does Claude really need this explanation?" and "Does this paragraph justify its token cost?" Prefer concise examples over verbose explanations. ### Set Appropriate Degrees of Freedom Match the level of specificity to the task's fragility and variability: **High freedom (text-based instructions)**: Use when multiple approaches are valid, decisions depend on context, or heuristics guide the approach. **Medium freedom (pseudocode or scripts with parameters)**: Use when a preferred pattern exists, some variation is acceptable, or configuration affects behavior. **Low freedom (specific scripts, few parameters)**: Use when operations are fragile and error-prone, consistency is critical, or a specific sequence must be followed. Think of Claude as exploring a path: a narrow bridge with cliffs needs specific guardrails (low freedom),...
# Skill Designer Agent Skills A comprehensive skill for creating effective [Agent Skills](https://agentskills.io/) - includes validation, initialization, and packaging tools that comply with the official Agent Skills specification. ## Features - **`init_skill.py`**: Initialize new skills from a template with proper structure - **`quick_validate.py`**: Validate skills against the official Agent Skills specification - **`package_skill.py`**: Package skills into distributable `.skill` files ## Quick Start ### Creating a New Skill ```bash python scripts/init_skill.py my-new-skill --path ./skills ``` ### Validating a Skill ```bash python scripts/quick_validate.py path/to/skill-folder ``` ### Packaging a Skill ```bash python scripts/package_skill.py path/to/skill-folder ``` ## Requirements - Python 3.11+ - PyYAML (`pip install pyyaml`) ## Creating Releases This repository uses GitHub Actions to automatically create releases when you push a version tag. ### Automatic Release on Tag Push 1. Create and push a version tag: ```bash git tag -a v1.0.0 -m "Initial release" git push origin v1.0.0 ``` 2. GitHub Actions will automatically: - Validate the skill - Package it into a `.skill` file - Create a GitHub release with the packaged file attached ### Manual Release You can also trigger a release manually from the GitHub Actions tab: 1. Go to **Actions** → **Create Release** 2. Click **Run workflow** 3. The workflow will create a release with a timestamp-based version ## License Apache License 2.0 - See [LICENSE.txt](LICENSE.txt) for details.
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...
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...
Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
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.