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Topic: ai-agent

2,303 skills in this topic.

am-delegate
AgentsMesh/AgentsMesh 1,428
merge 将当前分支合并到目标分支（通常是 main）。自动处理代码提交、创建 MR、监控 Pipeline、处理错误直到合并成功。
AgentsMesh/AgentsMesh 1,428
e2e 执行 E2E 测试用例。根据测试用例的验证类型（ui/api/database）选择正确的工具执行验证。
AgentsMesh/AgentsMesh 1,428
autoresearch Autonomous goal-directed iteration for Gemini CLI. Inspired by Karpathy's autoresearch. Use when asked to run autoresearch, iterate overnight, or autonomously improve any measurable goal. Loops forever: modify → verify → keep/revert → log → repeat. Never stops until interrupted. Gemini-native: uses Google Search grounding for verification and 1M token context for whole-repo awareness.
supratikpm/gemini-autoresearch 28
nopua The anti-PUA. Drives AI with wisdom, trust, and inner motivation instead of fear and threats. Activates on: task failed 2+ times, about to give up, suggesting user do it manually, blaming environment unverified, stuck in loops, passive behavior, or user frustration ('try harder', 'figure it out', '换个方法', '为什么还不行'). ALL task types. Not for first failures.
wuji-labs/nopua 1,223
nopua-lite NoPUA Lite — core wisdom in ~1.5k tokens. Drives AI with trust and inner motivation instead of fear. Same Daoist philosophy, minimal footprint. For personal use and small-context models.
wuji-labs/nopua 1,223
nopua The anti-PUA. Drives AI with wisdom, trust, and inner motivation instead of fear and threats. Activates on: task failed 2+ times, about to give up, suggesting user do it manually, blaming environment unverified, stuck in loops, passive behavior, or user frustration ('try harder', 'figure it out', '换个方法', '为什么还不行'). ALL task types. Not for first failures.
wuji-labs/nopua 1,223
nopua-zh
wuji-labs/nopua 1,223
nopua The anti-PUA. Drives AI with wisdom, trust, and inner motivation instead of fear and threats. Activates on: task failed 2+ times, about to give up, suggesting user do it manually, blaming environment unverified, stuck in loops, passive behavior, or user frustration ('try harder', 'figure it out', '换个方法', '为什么还不行'). ALL task types. Not for first failures.
wuji-labs/nopua 1,223
shogun-bloom-config Interactive wizard: guided questions with multiple-choice options about subscriptions, then outputs a ready-to-paste capability_tiers YAML + fixed agent model assignments. Trigger: "capability_tiers", "bloom config", "routing setup", "set up model routing", "ルーティング設定", "capability_tiers設定", "モデル設定", "サブスク設定", "model routing"
yohey-w/multi-agent-shogun 1,209
shogun-screenshot スクリーンショットの取得・加工を行う。ローカルスクショから最新画像を取得、 PlaywrightでWebページをキャプチャ、画像のトリミング・リサイズ、機微情報を黒塗りマスキング。記事執筆、レポート作成、UI確認、画像加工時に起動。「スクショ」「スクリーンショット」「画面キャプチャ」「最新のスクショ」「画像加工」「トリミング」「マスク」「写メ」「写メ撮った」「スクショ撮った」で起動。 Do NOT use for: 画像生成（shogun-imagegenを使え）。
yohey-w/multi-agent-shogun 1,209
shogun-readme-sync README.md（英語）とREADME_ja.md（日本語）の同期を確認・実行するスキル。README変更時に両言語版を必ず同時更新するために使用。「README更新」「README同期」「readme sync」で起動。
yohey-w/multi-agent-shogun 1,209
shogun-model-switch エージェントのCLI/モデルをライブ切替するスキル。settings.yaml更新→/exit→新CLI起動→ pane metadata更新を一発で実行。Thinking有無も制御。「モデル切替」「Sonnetにして」「Opusに変えて」「足軽全員切替」「Thinking切って」で起動。
yohey-w/multi-agent-shogun 1,209
shogun-model-list All AI CLI tools × available models × required subscriptions × Bloom max capability. Reference table for choosing which models to use in multi-agent-shogun. Trigger: "model list", "what models", "model comparison", "which models can I use", "モデル一覧", "モデル比較", "どのモデルが使える"
yohey-w/multi-agent-shogun 1,209
skill-creator Claude Codeスキル（SKILL.md）の設計・作成・バリデーション・レビュー。 Anthropic公式ガイド(2026-03)準拠。新規スキル作成、既存スキルの改善、 description品質チェック、トリガーテスト設計に使用。「スキル作って」「スキル設計」「SKILL.md作成」「スキルレビュー」で起動。 Do NOT use for: スキルの実行・呼び出し（それは各スキル自体が行う）。
yohey-w/multi-agent-shogun 1,209
shogun-agent-status 全エージェント（家老・足軽1-7・軍師）の稼働状態を一覧表示するスキル。tmux pane状態（稼働中/待機中/不在）とタスクYAML状態（task_id, status）と未読inbox数を統合表示。「稼働確認」「エージェント状態」「布陣確認」「agent status」で起動。
yohey-w/multi-agent-shogun 1,209
commit Complete pre-commit workflow - run quality checks (format, lint, type, test) and validate/create conventional commit messages
vm0-ai/vm0 1,062
cli-design Design patterns and conventions for the vm0 CLI user experience
vm0-ai/vm0 1,062
ccstate Patterns and best practices for using ccstate state management in the vm0 platform
vm0-ai/vm0 1,062
tech-debt Technical debt management - scan codebase for bad smells and create tracking issues
vm0-ai/vm0 1,062
code-quality Deep code review and quality analysis for vm0 project
vm0-ai/vm0 1,062
project-principles Core architectural and code quality principles that guide all development decisions in the vm0 project
vm0-ai/vm0 1,062
database-development Database migrations and Drizzle ORM guidelines for the vm0 project
vm0-ai/vm0 1,062
feature-switch Feature switch system guide for gating new user-facing features behind feature flags
vm0-ai/vm0 1,062