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sky-stroller / agent-skills-skill-installer exact

为通用 AI 助手安装技能。当用户请求列出可用技能、从 Git 仓库(GitHub/GitLab/Gitea)或本地目录安装技能到特定 AI 助手(Codex、Roo、Claude、Copilot、Cursor 等)的指定作用域时使用此技能。

DonggangChen / antigravity-agentic-skills-cli-developer exact

Expert CLI developer for command-line tools, terminal applications, and developer utilities. Invoke for CLI design, argument parsing, interactive prompts, progress indicators, shell completions....

vuralserhat86 / antigravity-agentic-skills-cli-developer exact

Expert CLI developer for command-line tools, terminal applications, and developer utilities. Invoke for CLI design, argument parsing, interactive prompts, progress indicators, shell completions....

Mrc220 / agent-flywheel-clawdbot-skills-and-integrations-beads-workflow exact

Converting markdown plans into beads (tasks with dependencies) and polishing them until they're implementation-ready. The bridge between planning and agent swarm execution. Includes exact prompts used.

Dicklesworthstone / agent-flywheel-clawdbot-skills-and-integrations-beads-workflow exact

Converting markdown plans into beads (tasks with dependencies) and polishing them until they're implementation-ready. The bridge between planning and agent swarm execution. Includes exact prompts used.

jonmagic / skills-weekly-snippets exact

Interactive weekly snippets builder for gathering and drafting Friday-Thursday accomplishment summaries. Use when creating weekly snippets, status updates, or accomplishment tracking. Covers...

mikeyobrien / ralph-orchestrator-pr-demo exact

Use when creating animated demos (GIFs) for pull requests or documentation. Covers terminal recording with asciinema and conversion to GIF/SVG for GitHub embedding.

olaservo / mcp-agent-skills-mcp-server-ts exact

Build TypeScript MCP servers with composable code snippets from the official Everything reference server. Use the add script to selectively copy tool, resource, or prompt modules. Use when...

oryanmoshe / agent-skills-writing-skills exact

Guides creation and editing of SKILL.md files following Anthropic best practices and this repo's conventions. Use when creating a new skill, editing an existing skill, porting a skill from another...

dceoy / speckit-agent-skills-speckit-implement exact

Execute the implementation plan by processing and executing all tasks defined in tasks.md

oryanmoshe / agent-skills-tracking-tasks exact

Enforces disciplined task tracking across context boundaries. Use when starting any coding task, receiving a new user request mid-work, planning multi-step work, discovering sub-tasks or issues,...

Karanjot786 / agent-skills-cli-test-skill exact

Brief description of what this skill does and when to use it.

dceoy / speckit-agent-skills-speckit-baseline exact

Generate feature specifications by analyzing existing source code.

Karanjot786 / agent-skills-cli-deep-researcher exact

Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources. Use when the user needs thorough investigation, market...

bocato / swift-testing-agent-skill-swift-testing exact

Expert guidance on Swift Testing best practices, patterns, and implementation. Use when developers mention: (1) Swift Testing, @Test, #expect, #require, or @Suite, (2) "use Swift Testing" or...

oryanmoshe / agent-skills-preserving-context exact

Captures working state before it is lost. Use before context compaction, when switching between unrelated tasks, after completing a logical phase of multi-step work, or when work will resume in a...

oryanmoshe / agent-skills-committing-code exact

Writes git commit messages using conventional commits format with gitmoji. Use when creating git commits, preparing commit messages, or when the user asks to commit changes. Triggers on "commit",...

dceoy / speckit-agent-skills-speckit-analyze exact

Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.

dceoy / speckit-agent-skills-speckit-clarify exact

Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.