planning-with-files 是做什么的？
使用持久化Markdown文件进行通用规划、进度跟踪和知识存储（Manus风格工作流）。适用于多步骤任务、研究项目或常规组织，但不要提及PRD。如需处理PRD相关任务，请使用prd-planner技能。
使用持久化Markdown文件进行通用规划、进度跟踪和知识存储（Manus风格工作流）。适用于多步骤任务、研究项目或常规组织，但不要提及PRD。如需处理PRD相关任务，请使用prd-planner技能。
该技能通过持久化Markdown文件实现通用规划、进度跟踪和知识管理，遵循Manus风格的工作流。它适合处理多步骤任务、研究项目或日常组织工作，但明确排除PRD（产品需求文档）相关场景。技能的核心优势在于利用Markdown文件作为持久化状态存储，开发者或AI agent用户可以通过维护结构化的笔记文件来记录目标、步骤、进度和关键发现，从而实现对复杂任务的分步管理和长期追踪。平台支持广泛，包括任何支持自定义技能或工具链的AI agent环境，如Claude Code、Cursor等。工作原理基于用户创建的Markdown文件，agent会自动读取、更新和追加内容，确保任务状态在不同会话间保持一致。
npx skills add https://github.com/charon-fan/agent-playbook/tree/main/skills/planning-with-filesInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
使用持久化Markdown文件进行通用规划、进度跟踪和知识存储（Manus风格工作流）。适用于多步骤任务、研究项目或常规组织，但不要提及PRD。如需处理PRD相关任务，请使用prd-planner技能。
This repo contains 2 individual skills — each has its own dedicated page.
Security vulnerability expert covering OWASP Top 10 and common security issues. Use when conducting security audits or reviewing code for vulnerabilities.
A universal self-improving agent that learns from ALL skill experiences. Uses multi-memory architecture (semantic + episodic + working) to continuously evolve the codebase. Auto-triggers on skill completion/error with hooks-based self-correction.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.