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Claude Skills by tools-only
github.com/tools-only19,166 skills18 installs6,168 views
- 2741 Tool Annotations 9f3db504Tool annotations provide metadata hints about tool behavior, helping clients and UIs make informed decisions about how to present and use tools. ContextForge supports the standard MCP annotation types for enhanced tool interaction.Votes: 0GitHub stars: 9
- 2742 038 Experimental Rust Transport Backend 0eab4f20- *Status:* Proposed - *Date:* 2025-12-26 - *Deciders:* Platform TeamVotes: 0GitHub stars: 9
- 2742 Qualitative Methods 43f9e73fMaster qualitative research methods including interviews, ethnography, case studies, grounded theory, and thematic analysisVotes: 0GitHub stars: 9
- 2743 Chunker Server 334bf908The Chunker MCP Server provides advanced text chunking capabilities with multiple strategies and configurable options. It supports recursive, semantic, sentence-based, fixed-size, and markdown-aware chunking methods to meet different text processing needs. The server is now available in both original MCP and FastMCP implementations, with FastMCP offering enhanced type safety and automatic validation.Votes: 0GitHub stars: 9
- 2743 Research Design B6146682Master research study design including hypothesis formation, validity, sampling strategies, and experimental controlVotes: 0GitHub stars: 9
- 2744 Eval Server 35d409dcThe **Ultimate AI Evaluation Platform** providing the most comprehensive AI assessment tools in the MCP ecosystem. Features **63 specialized tools** across **14 categories** for complete AI system evaluation using **LLM-as-a-judge techniques** combined with rule-based metrics.Votes: 0GitHub stars: 9
- 2744 Security Rules 3de6c8c540+ opinionated secure coding rules covering input validation, authentication, secrets management, and common vulnerabilities. Actionable best practices.Votes: 0GitHub stars: 9
- 2745 Design Patterns 5fd3f1ddReference guide for detecting AI slop patterns in visual and UX design including generic gradients, cookie-cutter layouts, and buzzword-heavy copy. Use as reference when reviewing design quality.Votes: 0GitHub stars: 9
- 2745 Url To Markdown Server 55cb28c7The URL-to-Markdown MCP Server is the ultimate solution for retrieving web content and files, then converting them to high-quality markdown format. It supports multiple content types, conversion engines, and processing options, available in both original MCP and FastMCP implementations with enhanced type safety and automatic validation.Votes: 0GitHub stars: 9
- 2746 Text Patterns 2b4a9d98Reference guide for detecting AI slop patterns in natural language text including overused phrases, buzzwords, and meta-commentary. Use as reference when reviewing text content for quality.Votes: 0GitHub stars: 9
- 2747 Components And Accessibility 27dffc06Component Architecture and AccessibilityVotes: 0GitHub stars: 9
- 276 Prompt Engineering 0f724738Prompt engineering patterns for developers including system prompts, few-shot learning, chain-of-thought, structured output, and tool use promptsVotes: 0GitHub stars: 9
- 2769 Console Toolset A2a7b2faThe console toolset provides ready-to-use pydantic-ai tools for file operations and shell execution. !!! info "Requires pydantic-ai" ```bash pip install pydantic-ai-backend[console] ```Votes: 0GitHub stars: 9
- 2785 Topic Specialist Df4d546dEmbodies a domain specialist by loading specified skills, then researches how something works using verified primary sources. Use when you need authoritative, fact-checked answers about a specific technology, library, or system. Invoke with a topic and optionally a list of skills to load as domain context. Can update or create skills with newly verified knowledge. DO NOT invoke without specifying the topic and question.Votes: 0GitHub stars: 9
- 2786 Relief On Station Cde95eb3Use when a ship's context window is depleted and a fresh ship must take over its task. Relief on station is a planned handover. For stuck or unresponsive agents, use `man-overboard.md`. For unplanned session interruptions, use `session-resumption.md`.Votes: 0GitHub stars: 9
- 281 Agent A939f648The main agent class for intelligent AI model cascading with automatic cost optimization.Votes: 0GitHub stars: 9
- 283 Openai 4ef0cd71LiteLLM supports OpenAI Chat + Embedding calls. :::tip **We recommend using `litellm.responses()` / Responses API** for the latest OpenAI models (GPT-5, gpt-5-codex, o3-mini, etc.) ::: ```python import os os.environ["OPENAI_API_KEY"] = "your-api-key" ``` ```python import os from litellm import completion os.environ["OPENAI_API_KEY"] = "your-api-key" response = completion( model = "gpt-4o", messages=[{ "content": "Hello, how are you?","role": "user"}] ) ``` :::info Metadata passthrough (previe...Votes: 0GitHub stars: 9
- 294 Evaluation Ba498384**Create evaluations BEFORE writing extensive documentation.** This ensures your skill solves real problems rather than documenting imagined ones. 1. **Identify gaps** — Run Claude on representative tasks without a skill. Document specific failures or missing context 2. **Create evaluations** — Build three scenarios that test these gaps 3. **Establish baseline** — Measure Claude's performance without the skill 4. **Write minimal instructions** — Create just enough content to address gaVotes: 0GitHub stars: 9
- 299 Strands Teams D0e30a6e{{ community_contribution_banner }} [strands-teams](https://github.com/eraykeskinmac/strands-teams) is a production-ready Microsoft Teams notification tool with rich Adaptive Cards support and custom messaging capabilities.Votes: 0GitHub stars: 9
- 300 Agent Loop Cc60c295A language model can answer questions. An agent can *do things*. The agent loop is what makes that difference possible. When a model receives a request it cannot fully address with its training alone, it needs to reach out into the world: read files, query databases, call APIs, execute code. The agent loop is the orchestration layer that enables this. It manages the cycle of reasoning and action that allows a model to tackle problems requiring multiple steps, external information, or real-wor...Votes: 0GitHub stars: 9
- 301 Events 20197ad2{{ experimental_feature_warning() }} Bidirectional streaming events enable real-time monitoring and processing of audio, text, and tool execution during persistent conversations. Unlike standard streaming which uses async iterators or callbacks, bidirectional streaming uses `send()` and `receive()` methods for explicit control over the conversation flow.Votes: 0GitHub stars: 9
- 302 Interruption 0577a29e{{ experimental_feature_warning() }} One of the features of `BidiAgent` is its ability to handle real-time interruptions. When a user starts speaking while the model is generating a response, the agent automatically detects this and stops the current response, allowing for natural, human-like conversations.Votes: 0GitHub stars: 9
- 303 Amazon Bedrock 53def84dAmazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies through a unified API. Strands provides native support for Amazon Bedrock, allowing you to use these powerful models in your agents with minimal configuration. The `BedrockModel` class in Strands enables seamless integration with Amazon Bedrock's API, supporting: - Text generation - Multi-Modal understanding (Image, Document, etc.) - Tool/function calling - Guardrail c...Votes: 0GitHub stars: 9
- 303 Amazon Bedrock A56d08e3Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies through a unified API. Strands provides native support for Amazon Bedrock, allowing you to use these powerful models in your agents with minimal configuration. The `BedrockModel` class in Strands enables seamless integration with Amazon Bedrock's API, supporting: - Text generation - Multi-Modal understanding (Image, Document, etc.) - Tool/function calling - Guardrail c...Votes: 0GitHub stars: 9
- 304 Graph 5f016311A Graph is a deterministic directed graph based agent orchestration system where agents, custom nodes, or other multi-agent systems (like [Swarm](./swarm.md) or nested Graphs) are nodes in a graph. Nodes are executed according to edge dependencies, with output from one node passed as input to connected nodes. The Graph pattern supports both acyclic (DAG) and cyclic topologies, enabling feedback loops and iterative refinement workflows. - **Deterministic execution order** based on graph struct...Votes: 0GitHub stars: 9
- 304 Graph Ac7a5a0aA Graph is a deterministic directed graph based agent orchestration system where agents, custom nodes, or other multi-agent systems (like [Swarm](./swarm.md) or nested Graphs) are nodes in a graph. Nodes are executed according to edge dependencies, with output from one node passed as input to connected nodes. The Graph pattern supports both acyclic (DAG) and cyclic topologies, enabling feedback loops and iterative refinement workflows. - **Deterministic execution order** based on graph struct...Votes: 0GitHub stars: 9
- 305 Stability Ai Tool 26bef3fe[Stability AI](https://platform.stability.ai/) builds image, video, 3D, and audio generation models. The Strands Agents SDK implements a Stability AI [tool](https://strandsagents.com/latest/user-guide/concepts/tools/tools_overview/) that can be used by agents to generate images.Votes: 0GitHub stars: 9
- 321 Streaming 7c04727d<Tip> Streaming Messages allow real-time content retrieval while the model generates responses, without waiting for the complete response to be generated. This approach can significantly improve user experience, especially when generating long text content, as users can immediately see output beginning to appear. </Tip>Votes: 0GitHub stars: 9
- 352 Memory Architecture 7b2cb7ebLetta agents have a hierarchical memory system inspired by the MemGPT research paper. Understanding when to use each memory type is crucial for building effective agents.Votes: 0GitHub stars: 9
- 353 Concurrency B20ddd62Multiple agents with access to the same memory blocks (e.g., team of agents collaborating)Votes: 0GitHub stars: 9
- 354 Pr Workflow 97d75bd8This page details the pull request process for Uniswap AI contributions.Votes: 0GitHub stars: 9
- 354 Pr Workflow C6049698All contributions to the skills repository go through pull requests (PRs), not direct commits to main. This ensures quality, enables review, and maintains a clear contribution history.Votes: 0GitHub stars: 9
- 355 Chess Image Analysis 6950af47This reference provides detailed techniques for extracting chess positions from images.Votes: 0GitHub stars: 9
- 356 Cobol Data Types E76e0e0f| Symbol | Meaning | Python Equivalent | |--------|---------|-------------------| | `9` | Numeric digit (0-9) | `int` with formatting | | `X` | Any character | `str` | | `A` | Alphabetic only | `str` with validation | | `V` | Implied decimal point | Divide/multiply by 10^n | | `S` | Signed value | `int` (positive or negative) | | `P` | Decimal scaling | Multiply by 10^n | | `Z` | Zero-suppressed digit | Format with space padding | | `.` | Decimal point (display) | Format string | | `,` | Comma (Votes: 0GitHub stars: 9
- 357 Wal Format Cc16c616The Write-Ahead Log (WAL) is a journaling mechanism in SQLite that records database changes before they are committed to the main database file. Understanding the WAL format is essential for manual recovery operations.Votes: 0GitHub stars: 9
- 358 Ocr Video Processing 78cb6b79Detailed guidance for preprocessing video frames and optimizing OCR extraction of text-based commands.Votes: 0GitHub stars: 9
- 359 Xss Vectors 5cdac381This document catalogs JavaScript injection vectors that must be handled when sanitizing HTML. Use this as a checklist to ensure comprehensive coverage.Votes: 0GitHub stars: 9
- 360 Hierarchical Structure Patterns Dfd06074This reference provides detailed patterns for implementing hierarchical directory structures when simple flat organization violates constraints.Votes: 0GitHub stars: 9
- 361 Discovery Approve 2254ad9bReview synthesis findings, resolve blocking decisions, and create implementation tickets in the ticketing system. ---Votes: 0GitHub stars: 9
- 451 Reference Set 01 Credential Stuffing Prevention 06dc56b3<!-- Threat Modeling Skill | Version 3.0.3 (20260209a) | https://github.com/fr33d3m0n/threat-modeling | License: BSD-3-Clause -->Votes: 0GitHub stars: 9
- 451 Reference Set 01 Credential Stuffing Prevention 3eb734c3<!-- Threat Modeling Skill | Version 3.0.2 (20260204a) | https://github.com/fr33d3m0n/threat-modeling | License: BSD-3-Clause -->Votes: 0GitHub stars: 9
- 452 Reference Set 01 Saml Security 5bf46ff0<!-- Threat Modeling Skill | Version 3.0.3 (20260209a) | https://github.com/fr33d3m0n/threat-modeling | License: BSD-3-Clause -->Votes: 0GitHub stars: 9
- 452 Reference Set 01 Saml Security Ead3e514<!-- Threat Modeling Skill | Version 3.0.2 (20260204a) | https://github.com/fr33d3m0n/threat-modeling | License: BSD-3-Clause -->Votes: 0GitHub stars: 9
- 453 Reference Set 01 Security Questions B5b13f0b<!-- Threat Modeling Skill | Version 3.0.3 (20260209a) | https://github.com/fr33d3m0n/threat-modeling | License: BSD-3-Clause -->Votes: 0GitHub stars: 9
- 453 Reference Set 01 Security Questions D59dec3e<!-- Threat Modeling Skill | Version 3.0.2 (20260204a) | https://github.com/fr33d3m0n/threat-modeling | License: BSD-3-Clause -->Votes: 0GitHub stars: 9
- 454 Reference Set 03 Bean Validation C3f39c78<!-- Threat Modeling Skill | Version 3.0.2 (20260204a) | https://github.com/fr33d3m0n/threat-modeling | License: BSD-3-Clause -->Votes: 0GitHub stars: 9
- 454 Reference Set 03 Bean Validation Cb7cb648<!-- Threat Modeling Skill | Version 3.0.3 (20260209a) | https://github.com/fr33d3m0n/threat-modeling | License: BSD-3-Clause -->Votes: 0GitHub stars: 9
- 455 Reference Set 05 Csp A185fb6c<!-- Threat Modeling Skill | Version 3.0.3 (20260209a) | https://github.com/fr33d3m0n/threat-modeling | License: BSD-3-Clause -->Votes: 0GitHub stars: 9
- 455 Reference Set 05 Csp Ed69838b<!-- Threat Modeling Skill | Version 3.0.2 (20260204a) | https://github.com/fr33d3m0n/threat-modeling | License: BSD-3-Clause -->Votes: 0GitHub stars: 9
- 456 Reference Set 05 Xss Filter Evasion 4fb88c13<!-- Threat Modeling Skill | Version 3.0.2 (20260204a) | https://github.com/fr33d3m0n/threat-modeling | License: BSD-3-Clause -->Votes: 0GitHub stars: 9