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Agent skills
ai-assistant

Topic: ai-assistant

953 skills in this topic.

contextvar-opportunity-finder Detect explicit user_id parameters in functions to identify potential opportunities for using ambient context. This is an investigation tool that flags instances for human review, not a prescriptive analyzer.
taylorsatula/mira-OSS 441
contextvar-remediation
taylorsatula/mira-OSS 441
fail-fast-no-hedging Eliminate component hedging anti-patterns that mask infrastructure failures. Build systems that fail loudly when broken instead of limping along in degraded states. Critical for production reliability and operational visibility.
taylorsatula/mira-OSS 441
Git Workflow DO NOT COMMIT unless user explicitly tells you to. Use this skill EVERY SINGLE TIME before creating a git commit. Provides mandatory commit message format, staging rules, and post-commit summary requirements for the MIRA project
taylorsatula/mira-OSS 441
investigate-dependencies Conduct thorough dependency audits to identify redundant code, unused features, and improper usage patterns. Examines each import to ensure we're leveraging existing capabilities rather than reinventing functionality.
taylorsatula/mira-OSS 441
Prompt Mastery Advanced LLM prompt engineering expertise for crafting highly effective prompts, system messages, and tool descriptions with Claude-specific techniques
taylorsatula/mira-OSS 441
Real Pytest - No Mocks, Real Tests Write pytests that test real public interfaces with actual components, no mocking, and precise assertions. MIRA-specific patterns. Use when creating or reviewing tests.
taylorsatula/mira-OSS 441
tool-builder
taylorsatula/mira-OSS 441
i18n-check 检查并补充前端和后端的i18n翻译文件。以中文（zh-CN）为基准，检查其他语言翻译文件是否缺少key，并补充缺失的key和对应的翻译值。对于日语(ja-JP)、韩语(ko-KR)、繁体中文(zh-TW)，使用与非CJK语言对比的方式检测未翻译内容。
zhimaAi/ChatClaw 245
readme-from-docx Update README and docs/readmes from Word docx (English and Chinese). Use when the user provides docx files to update feature previews, wants to sync README with docx content, or asks to extract docx images and update readmes.
zhimaAi/ChatClaw 245
codex-app-parity Use when implementing or changing user-visible behavior/UI in this repository and parity with the installed Codex desktop app must be validated before coding.
friuns2/codexUI 221
github-pr-acceptance
friuns2/codexUI 221
npm-publish 用于本仓库的 npm 发布流程。当用户提到发布到 npm、发包、npm publish、发布 latest、验证 npm 包版本或准备 npm release 时使用。优先复用仓库现有的 publish.sh 与 package.json 配置，而不是临时手写发布步骤。
friuns2/codexUI 221
upstream-sync-curator 用于这个仓库中“先分析 upstream 提交与代码变更，再按功能主题选择性引入 upstream 变更；所有操作在临时 worktree 中完成，并在难解冲突时优先保留当前 fork 实现”。当用户提到 upstream sync、同步源仓库、选择性合并 upstream、分析上游提交、挑功能合并等意图时使用。仅适用于 nervmor/codexui 与其上游 friuns2/codexUI。
friuns2/codexUI 221
chromium-debug-use Attach to a user's already-open Chromium-family browser for live inspection and light interaction after explicit local approval
marcusquinn/aidevops 172
pageindex PageIndex - Vectorless reasoning-based RAG for document retrieval
marcusquinn/aidevops 172
AgentDB Learning Plugins Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
chatman-media/timeline-studio 155
AgentDB Performance Optimization Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
chatman-media/timeline-studio 155
AgentDB Vector Search Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
chatman-media/timeline-studio 155
github-code-review Comprehensive GitHub code review with AI-powered swarm coordination
chatman-media/timeline-studio 155
github-project-management Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
chatman-media/timeline-studio 155
github-release-management Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
chatman-media/timeline-studio 155
ReasoningBank with AgentDB Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
chatman-media/timeline-studio 155
ReasoningBank Intelligence Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.
chatman-media/timeline-studio 155