GitHub
rlm
Process files too large to fit in context (>100KB, >2000 lines). Uses Python REPL for structural analysis, LLM queries for semantic reasoning, and subagents for final synthesis. Triggers - large file, big docum...
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testing security llm ai AI 技能
发现 testing security llm ai 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
分类目录: testing security llm ai
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GitHub
cohere-v2-python
Master Cohere v2 Chat API with Python, specializing in entity extraction using JSON Schema mode for structured outputs. Use when extracting entities from text, building data extraction pipelines, implementing N...
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GitHub
surrealdb-python
Master SurrealDB 2.3.x with Python for multi-model database operations including CRUD, graph relationships, vector search, and real-time queries. Use when working with SurrealDB databases, implementing graph tr...
☆ 11查看技能
GitHub
prompt-eval-builder
Domain knowledge for extracting eval assertions and generating test invocation prompts from command/agent specs. Used for building promptfoo evaluation configs.
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GitHub
prompt-forge
Shape, refine, and stabilize human intent into a canonical prompt artifact. Iteratively clarifies ambiguity until user confirms readiness.
☆ 10查看技能
GitHub
prompt-exec
Execute the forged prompt exactly as written. Requires explicit consent and a ready artifact. Deletes artifact after successful execution.
☆ 10查看技能
GitHub
llm-integrator
Integrate LLM providers (Claude, GPT, etc.) with emotive-mascot for sentiment-driven emotional responses. Use when connecting to AI services, implementing chat interfaces, or creating emotion-aware conversation...
☆ 10查看技能
GitHub
use-case-generator
Generate complete use case implementations for specific industries and scenarios. Use when creating new demo pages, implementing industry-specific mascot integrations, or exploring new application areas.
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GitHub
semantic-performance-builder
Build choreographed multi-step emotion sequences (semantic performances) for complex interactions. Use when designing welcome sequences, error recovery flows, or celebration animations.
☆ 10查看技能
GitHub
api-integration-patterns
API integration patterns for autonomous-dev including subprocess safety, GitHub CLI integration, retry logic, authentication, rate limiting, and timeout handling. Use when integrating external APIs or CLI tools...
☆ 10查看技能
GitHub
api-design
REST API design best practices, versioning strategies, error handling, pagination, and OpenAPI documentation. Use when designing or implementing REST APIs, HTTP endpoints, or API documentation.
☆ 10查看技能
GitHub
skill-integration-templates
Standardized templates and patterns for integrating skills into agent prompts. Reduces token overhead through reusable skill reference syntax, action verbs, and progressive disclosure usage guidelines.
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GitHub
agent-output-formats
Standardized output formats for research, planning, implementation, and review agents. Use when generating agent outputs or parsing agent responses.
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GitHub
gaik-toolkit
GAIK (Generative AI Knowledge Management Toolkit) development guidance. Use when working with: structured data extraction from documents/PDFs/audio, schema generation, document parsing (VisionParser, PyMuPDFPar...
☆ 10查看技能
GitHub
mem-search
Search the Claude Code knowledge base for errors, solutions, decisions, and patterns. Use this to find information from your memory system.
☆ 10查看技能
GitHub
mem-save
Explicitly save knowledge, patterns, decisions, or learnings to the knowledge base. Use when you want to document something for future reference.
☆ 10查看技能
GitHub
spec
Write specifications at the right depth for any project. Progressive disclosure from quick Linear issues to full AI feature specs. Embeds Linear Method philosophy (brevity, clarity, momentum) with context engin...
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GitHub
agency-ladder
Plan the v1→v2→v3 agency progression for AI features. Walk through mapping how autonomy increases over time, define promotion criteria, and generate artifacts for stakeholder alignment. Based on CC/CD framework...
☆ 10查看技能
GitHub
agent-workflow
Expert system for designing and architecting AI agent workflows based on proven Meta methodologies. Use when users need to build AI agents, create agent workflows, solve problems using agentic systems, integrat...
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GitHub
context-engineering
[ARCHIVED] Full 4D Context Canvas reference. For new AI features, use /spec --ai. For debugging, use /ai-debug. For quality checks, use /context-check.
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GitHub
prd-writer
Full 5-stage PRD framework for complex features. Use for deep PRD work via /spec --deep full-prd. For quick feature specs, use /spec --feature instead.
☆ 10查看技能
GitHub
calibrate
Post-launch AI feature calibration workflow. Document error patterns, review eval performance, and decide on agency promotion. Based on CC/CD framework for continuous calibration of AI products.
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GitHub
prompt-engineering
Expert prompt optimization system for building production-ready AI features. Use when users request help improving prompts, want to create system prompts, need prompt review/critique, ask for prompt optimizatio...
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GitHub
skill-creator
Create, validate, and refine Claude Code skills. Use when: building a new skill, validating an existing skill against best practices, or improving a skill's clarity and execution. Handles skill structure, front...
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。