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General-Purpose Claude Skills (Page 617 of 2095)

Productivity, automation, knowledge management, integrations, AI tooling, and general-purpose skills for Claude Code.

125,692 skills · updated 2026-10-25 · showing 36961–37020 of 125,692 by quality score

Sub-topics:Ai Tooling (5,608)Automation (5,509)Integrations (4,833)Business Ops (3,213)Design Creative (2,312)Orchestration Frameworks (2,152)Agents Skills Meta (2,094)Legal Compliance (1,836)

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Maintainer-invoked, rare-cadence whole-project deep assessment. Runs the full layered examination of the library and its own quality machinery from a fresh session, composing the…
· Orchestrate a 5-wave repo audit, persist findings, generate phased tasks. Triggers: 'deep audit', 'full audit', 'comprehensive review', 'audit report', 'mega review', 'deep…
Clarifies ambiguous requests through Socratic dialogue, drawing out goals, completion criteria, and constraints to produce a structured spec document.
Full-spectrum consolidation of AI agent configuration files. Goes beyond memory-only dream skills: audits and optimizes context files (CLAUDE.md/AGENTS.md/GEMINI.md/.cursorrules),…
结构化深度讨论 Skill,用于与用户进行多轮问题分析和方案设计。当用户描述一个问题现象、故障表现、 技术困惑、方案选择困难,或明确说"讨论一下"、"帮我分析"、"我遇到一个问题"、"你觉得怎么样"、 "帮我想想"、"我在纠结"时,必须使用本 skill。当用户提供了一段描述(可能附带截图)并期望深入分析 而非直接给答案时,也应触发本…
Multi-agent deep discussion with intelligent Orchestrator coordination. Uses agenda checklist to track progress.
経歴深堀り / 技術深掘り面接をシミュレートする。AI が面接官として質問し、ユーザの回答に対して追加で深掘り質問を重ねる。対象ファイルは `-.md` 形式(例: `002-tech-selection.md`)
Create, expand, reorganize, and maintain repository documentation with deep coverage across README files, browsable docs, API/reference pages, llms.txt, llms-full.txt, changelogs,…
Use when the user finishes a deep-work session — merging, opening a PR, keeping the branch as-is, or discarding.
Implements code from /deep-plan section files with TDD methodology, code review, and git workflow. Use when implementing plans created by /deep-plan.
Comprehensive deep learning guidelines for neural network development, training, and optimization.
Use when you have UPLC-HRMS data (ThermoFisher, Agilent, or MSConvert-compatible
Use when when you need to construct a dual-branch neural network encoder that processes two augmented versions of the same input (e.g., ion images in COL or ISO mode) and must…
Use when you have preprocessed mass spectrometry spectra (tokenized m/z and intensity pairs or feature matrices) and a trained deep learning model checkpoint, and you need to…
Use when you have a trained deep learning model and want to quantify prediction uncertainty for each input pair or decision point.
Use when you have downloaded the LC-MS spectral peak dataset (DOI 10.25345/C5FD2F)
Use when you have raw or preprocessed mass spectrometry feature matrices (e.g., from low mass resolution or sparse acquisition) and want to enhance signal quality and spatial…
Use when you have a pre-trained deep learning encoder (e.g., TCN spectrum encoder trained on a large corpus) and want to adapt it to a new task (e.
Expert guidance for deep learning, transformers, diffusion models, and LLM development with PyTorch, Transformers, Diffusers, and Gradio.
Use when when you have an unknown compound's mass spectrum (m/z peaks and intensities in .mgf or equivalent format with mandatory PRECURSOR_MZ and IONMODE tags) and need — from…
Use when training a CNN model from scratch on LCMS peak classification tasks (or similar image-like batched data) where you need to confirm the model reaches target performance…
Apply square well potential models to analyze and classify deep level centers (transition metal impurities, vacancies) with strong core potentials and localized wavefunctions when…
Universal links and deep linking skill for implementing iOS Universal Links, Android App Links, custom URL schemes, and deferred deep linking across mobile platforms.
The heavy, infrequent (~monthly) maintenance pass for the wiki — a superset of `lint`. Use on /deep-lint, "monthly maintenance", "deep clean the wiki", "audit confidence", or…
ใช้เมื่อผู้ใช้ต้องการวิเคราะห์หุ้นรายตัว (หุ้น US) เชิงลึก — หามูลค่าที่แท้จริง (intrinsic value), ตัดสินใจซื้อ/ถือ/ลด/ขาย, ทำ DCF/Reverse DCF, ประเมิน valuation.
Decomposes vague, high-level project requirements into well-scoped planning units for /deep-plan. Use when starting a new project that needs to be broken into manageable pieces.
Use when the user asks to review with ensemble judges, or explicitly requests the ensemble variant of deep-qa.
Read, study, and answer questions about long books and papers without loading the whole text into one context window, keeping page-anchored notes as a reusable workspace.
Run extended multi-agent reconnaissance sessions. Use when asked to brainstorm deeply, explore ideas from multiple angles, or generate a structured recon document.
Analyzes development sessions to extract patterns, preferences, and learnings. Use after significant work sessions to capture insights, document system understanding, and — from…
Analyzes development sessions to extract patterns, preferences, and learnings. Use after significant work sessions to capture insights, document system understanding, and — from…
Comprehensive single-document review combining pessimistic and optimistic analysis with improvements. Modifies content. — from AnastasiyaW/claude-code-config
Comprehensive single-document review combining pessimistic and optimistic analysis with improvements. Modifies content. — from general/general-misc
Comprehensive single-document review combining pessimistic and optimistic analysis with improvements. Modifies content. — from general/general-misc
Hybrid search using Brave for discovery + Agent Browser for deep extraction. Triggered by /deep-search command. Sequential execution, combined summary output.
【深度调研专用】当需要系统性调研、多产品对比、深度分析、技术选型、趋势分析时必须使用本技能。触发关键词:调研、对比、分析、评估、选型、趋势、综合报告、多源验证。通过 3 层深度搜索(阅读多个网页)+ 多源交叉验证,提供比普通 WebSearch 更全面、更准确的研究结果和深度洞察。禁止用普通搜索工具替代深度调研任务。
Generate comprehensive multi-approach strategies before execution. Extract domain knowledge, create alternative approaches, identify failure modes, and develop risk-aware plans.
Multi-perspective structural analysis for complex social, economic, philosophical, and systemic questions — produces stratified, fact-bound, confidence-calibrated conclusions via…
วัตถุประสงค์ใช้ Skill นี้เพื่อให้ Agent ศึกษาโฟลเดอร์ที่ผู้ใช้ระบุอย่างละเอียด วิเคราะห์โครงสร้างไฟล์/โฟลเดอร์ อ่านไฟล์ที่สามารถอ่านได้ทุกไฟล์โดยไม่ข้ามไฟล์ และสรุปผลออกมาเป็น…
Run a multi-thread deep job-search sweep over the search spaces currently queued in working/scripts/viz/build_sweep_viz.py.
Tutor the user toward deep understanding of a topic, codebase, paper, artifact, or concept through incremental explanation, active recall, and verification.
Use this plugin when the user wants a maximum-effort reasoning workflow for a complex, high-stakes, or ambiguous task.
Deploy meta-cognition and recursive systems thinking mode. Use when need to question the question, find root causes of root causes, or escape current system constraints.
Deep Why v3: null-first option prosecutor. Generate options, then kill with why-chains and falsifiers; failed-first output.
Protect focus time that actually survives the week — the block placement matched to real energy hours, the defense rules (what moves a block, what never), the entry ritual that…
Focus blocks, distraction management, and flow state triggers for cognitively demanding work
Expert guidance for DeepAgents framework - simplified agent creation with tool integration for LangChain/LangGraph workflows.
使用 FilesystemMiddleware 实现虚拟文件系统、后端(State、Store、Filesystem、Composite)和 Deep Agents 的上下文管理。
Implements agents using Deep Agents. Use when building agents with create_deep_agent, configuring backends, defining subagents, adding middleware, or setting up human-in- — from…
deepagents framework integration patterns for agent creation, planning, filesystem operations, and subagent orchestration. Current version 0.2.5 with LangGraph 1.0.2+
在 Deep Agents 中实现长期内存,使用 StoreBackend、CompositeBackend 和 InMemoryStore 进行跨会话的持久化数据存储。
理解 Deep Agents 框架 - 它们是什么、如何使用 createDeepAgent 创建,以及 agent harness 架构,包括内置的规划、文件系统和子代理中间件。
Using TodoListMiddleware for task planning and tracking progress with the write_todos tool in Deep Agents for complex multi-step workflows.
Operate the deepbook CLI for DeepBook reads (REST/SSE), global ~/.deepbook config/account management, on-chain spot trading, top-level swap execution, balance-manager ops, and…
Integrate DeepBook v3 orderbook on Sui (limit orders, CLOB, DEX). Use when the user wants to build on DeepBook or a Sui orderbook DEX.
Prepare and publish DeepChat releases in this repository. Use when Codex needs to bump the app version, update CHANGELOG.md, keep release notes bilingual from v1.0.1 onward with…
DeepCode integration - automated code generation from papers and text requirements. Trigger phrases: "deepcode integration - automated code generation from papers and text…
把专题深度成稿转换为小红书图文卡(封面+知识卡 1080×1440)+ 笔记文案,复用本仓渲染/发布栈。触发词「发小红书 / 转小红书图文 / 深度内容小红书」。
Use when a person asks to design a new module's interface or to rework an existing module so that it hides much behind little, in any tier (backend, frontend, test support,…
Basic usage guide for the DeepFace library (face recognition, verification, analysis).
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