Discover testing security llm ai skills, compare source repositories and read the instructions for each workflow.
Orchestrate PM-Agent workflows for case management, task delegation, and artifact pipeline coordination. Use when managing multi-step projects, delegating tasks to sub-agents, or tracking work through CMMN stag...
Query the SEA-Forge™ Knowledge Graph using SPARQL to retrieve concepts, relationships, and semantic patterns. Use for semantic lookups, concept validation, relationship discovery, and ontology exploration. Inte...
Composable patterns for advanced skill usage including skill chaining, telemetry instrumentation, visual cataloging, and skill versioning. Use when building complex multi-skill workflows, adding observability t...
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 AI agent capabilities with specialized knowledge, workflows, or to...
Use when user requests translating Qt project localization files (TS files), automating translation workflows, or setting up multilingual support for Qt applications. This skill uses parallel processing with Th...
Design and implement intuitive, user-friendly bot command interfaces with comprehensive help systems
Design and implement independent per-group configurations for LINE Bot supporting multiple groups simultaneously
Evaluates the user experience of the bot's command interface and provides actionable recommendations
Add or update skills in a skills repository for Codex and/or Claude Code. Use when creating new skills, packaging .skill files for Codex, or converting a skill into a Claude Code plugin (marketplace.json + plug...
Run Aristotle automated theorem prover on Lean files to fill sorry placeholders. Use when you have a file with sorries that needs automated proof search. Handles API setup and result verification.
Guide coding agents to write code, tests, and documentation as a single coherent narrative in clear natural language prose, with identifiers that read as grammatically correct English.
Specializes in context gathering, initial problem diagnosis, and routing issues to appropriate domain experts. Use this skill when encountering errors, performance issues, or unexpected behavior before engaging...
Use this agent for audits, debugging nasty bugs, deep research, getting second opinions on approaches, reviewing commits for correctness, or analyzing complex problems. Invoke when you need advanced reasoning a...
Write documentation, help articles, specs, and user-facing text in the authentic Grove voice. Use when writing any text that users will read, updating help center content, or drafting specs. Ensures warmth, cla...
Conduct systematic research with confidence scoring, source validation, and structured reporting for technology decisions and codebase analysis. Use for complex research tasks, technology selection, or best pra...
Create or improve agent skills. Load when creating SKILL.md files, writing skill descriptions, or structuring skill content for OpenCode or Claude.
다중 AI 모델을 통한 코드 검증 (OpenAI + Gemini)
3AI 병렬 분석 및 합의 판정 시스템
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 to...
Gemini CLI 호출 스킬. 트리거: "gemini로", "gemini 써서", "gemini한테", "with gemini", "use gemini" 암시적 트리거 (자동 제안): - 멀티모달: "이미지 분석", "PDF 읽어", "analyze image", "analyze PDF" - 대용량 컨텍...
Creates sophisticated HBR-style editorial illustrations for any content using AI understanding and visual analysis. Use when creating conceptual illustrations, analyzing generated images, or compositing logos....
단순 검색 - Haiku 모델로 빠르고 저렴하게
Plan and execute an evidence-first interrogation using approved probes; outputs schema-valid findings + report.
Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools, resources, and prompts. The quality of an MCP server is measured by how well it enabl...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.