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madebywild
GitHub 创作者资料

madebywild

按仓库查看 1 个 GitHub 仓库中的 18 个已收集 skills。

已收集 skills
18
仓库
1
更新
2026-07-20
仓库分布

Skills 分布在哪些仓库

按已收集 skill 数展示主要仓库,并显示它们在该创作者目录中的占比和职业覆盖。

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仓库与代表性 skills

harness-mcp
其他计算机职业

Create and manage MCP server config entities in the agent-harness workspace.

2026-07-20
harness-mcp
其他计算机职业

Create and manage MCP server config entities in the agent-harness workspace.

2026-07-03
harness-hook
软件开发工程师

Create and manage lifecycle hook entities in the agent-harness workspace. Covers canonical event authoring, provider projection (Claude Code, GitHub Copilot, OpenAI Codex CLI, Cursor), mode behavior, handler types, the full event/provider support matrix, copy-paste recipes, and common diagnostics.

2026-06-27
harness-hook
软件开发工程师

Create and manage lifecycle hook entities in the agent-harness workspace. Covers canonical event authoring, provider projection (Claude Code, GitHub Copilot, OpenAI Codex CLI, Cursor), mode behavior, handler types, the full event/provider support matrix, copy-paste recipes, and common diagnostics.

2026-06-27
critical-review
软件质量保证分析师与测试员

Run a multi-round critical review loop using specialized subagents. Use when the user asks to review changes, harden code, or ensure quality before merge. Spawns parallel review agents across security, core-logic, tests, CLI integration, and API surface, then iterates fix-and-re-review rounds until all agents report clean.

2026-04-12
harness-skill
软件开发工程师

Create and manage skill entities in the agent-harness workspace. Use when the user wants to add a new skill, understand how skills work across providers, or generate provider skill artifacts from a canonical source.

2026-04-12
harness-subagent
软件开发工程师

Create and manage subagent entities in the agent-harness workspace. Invoke this skill when a user wants to define, scaffold, apply, or remove a subagent across Claude Code, OpenAI Codex, or GitHub Copilot.

2026-04-12
critical-review
软件质量保证分析师与测试员

Run a multi-round critical review loop using specialized subagents. Use when the user asks to review changes, harden code, or ensure quality before merge. Spawns parallel review agents across security, core-logic, tests, CLI integration, and API surface, then iterates fix-and-re-review rounds until all agents report clean.

2026-04-12
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