productivity▌

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Persistent memory and context management for AI agents across sessions, repositories, and dates. \n \n Load project background before work, search prior conclusions during tasks, and store decisions afterward using slash commands ( /opencontext-context , /opencontext-search , /opencontext-iterate ) \n Supports keyword, vector, and hybrid search modes with optional semantic indexing via embeddings API \n Integrates with multi-agent workflows (Claude, Gemini, Codex) through MCP tools for knowledge

Complete authentication and authorization system with JWT, OAuth, and role-based access control. \n \n Covers five core authentication methods: JWT tokens, session management, OAuth 2.0, password hashing (bcrypt/argon2), and multi-factor authentication support \n Includes step-by-step implementation for user registration, login, token refresh, and logout endpoints with database schema design \n Provides authentication middleware for protecting API routes and role-based authorization for permissi

Establish AI agent environment policies, security guardrails, and team configuration standards. \n \n Configure project description files as AI manuals with tech stack, coding standards, and DO NOT rules; use /init for auto-generation from codebase analysis \n Set up security hooks to block dangerous commands (rm -rf, sudo, curl | sh) and auto-approve only safe operations via PreToolUse and PostToolUse events \n Define skills, slash commands, and plugins with token efficiency in mind; skills loa

ちょっと、いいか。

Comprehensive evaluation framework for designing, building, and monitoring AI agent performance across coding, conversational, research, and computer-use agents. \n \n Covers three grader types (code-based, model-based, human) with trade-offs and best practices for each agent category \n Provides an 8-step roadmap from initial task creation through production monitoring, including environment isolation, outcome-focused grading, and saturation detection \n Includes benchmarks for major agent type

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

soul-self-evolution \n 对 SOUL.md 或 docs/reference/SOUL.md 进行受控更新： \n \n 只允许改动可演进段 \n 记录 checkpoint \n 支持一键回滚 \n \n 调用 \n python3 skills/soul-self-evolution/run.py apply --path docs/reference/SOUL.md --changes '[{\"section\":\"## Collaboration Preferences\",\"content\":\"- Keep updates concise.\"}]' \n python3 skills/soul-self-evolution/run.py list_checkpoints\n

Install npm packages directly from GitHub repositories using git URLs. \n \n Supports HTTPS and SSH methods for public and private repositories, with authentication via SSH keys or personal access tokens \n Install from specific branches, tags, commits, or the default branch by appending #<ref> to the git URL \n Automatically runs the prepare script during installation, enabling TypeScript compilation and builds for packages not yet published to npm \n Add git URLs directly to package.json

Intelligently organize and rename files based on their content and metadata.