Browse Skills — Page 90

decision-extraction

Fr-e-d/GAAI-framework

Identify and formalize durable product and technical decisions from agent outputs into long-term memory. Activate after Discovery produces artefacts, Delivery resolves trade-offs, or product direction materially changes.

decision-framework

Tibsfox/gsd-skill-creator

Thinking frameworks for decisions and problem analysis. Use when evaluating options, root causes, or prioritizing.

decision-framework-invoker

Tibsfox/gsd-skill-creator

Triggers for automatically invoking the decision-framework skill before irreversible or high-blast-radius operations. Use as a checkpoint: when a proposed action matches a trigger pattern, pause and run the appropriate framework (first-principles, inversion, decision matrix, second-order thinking) before proceeding. Prevents ad-hoc calls from becoming regret.

decision-helper

notque/vexjoy-agent

Weighted decision scoring for architectural choices.

decision-logger

alirezarezvani/claude-skills

Use when logging a decision after a board meeting, reviewing past decisions or checking overdue actions. Keeps raw transcripts and approved decisions separately with decision_tracker.py.

decision-making

Tibsfox/gsd-skill-creator

Structured approaches to decisions under uncertainty and complexity. Covers expected value, decision trees, multi-criteria decision analysis, System 1 vs System 2 allocation, pre-mortems, reversible vs irreversible decisions, and the distinction between good decisions and good outcomes. Use when choosing among alternatives with uncertain or multi-dimensional consequences, especially when the stakes justify a deliberate rather than intuitive process.

decision-matrix

lyndonkl/claude

Compares multiple named alternatives against weighted criteria to produce transparent, defensible choices with explicit trade-off analysis. Covers criterion identification, weighting approaches (direct allocation, pairwise comparison, stakeholder averaging), scoring calibration, sensitivity analysis, and group decision facilitation. Use when choosing between vendors/tools/strategies, balancing competing priorities (cost vs quality vs speed), or when user mentions "which option should we choose", "compare alternatives", "evaluate vendors", or "trade-offs".

decision-sensitivity

yogsoth-ai/de-anthropocentric-research-engine

Identify which uncertainties would actually change the research direction decision. Compute EVPI to prioritize uncertainty reduction.

decision-support

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

Provide data-driven decision support for construction. Analyze multiple factors and recommend optimal project decisions.

decision-table

closedloop-ai/claude-plugins

Use when the user wants a code-grounded decision table for current behavior, wants to compare current behavior against a plan or work item, or needs a control-flow artifact for recovery, retry, finalization, validation, state-machine, or review-heavy edge cases.

decision-ui

JasonxzWen/harness-hub

Load when Codex 即将要求用户在 2-3 个互斥方案中做真实决定、准备询问阻塞性澄清问题或需要确认高影响取舍；将选择转换为宿主原生可点击 UI，并在工具不可用时诚实文本回退。不要用于低风险实现细节、只有一个合理答案的问题、普通信息采集或不需要用户决策的完成汇报。

deck-design-pdf

appautomaton/presentation

>

deck-design-ppt

appautomaton/presentation

>

deck-factory

gongnyang/deck-factory

>-

deck-refresh

anthropics/financial-services

Updates a presentation with new numbers — quarterly refreshes, earnings updates, comp rolls, rebased market data. Use whenever the user asks to "update the deck with Q4 numbers", "refresh the comps", "roll this forward", "swap in the new earnings", "change all the $485M to $512M", or any request to swap figures across an existing deck without rebuilding it.

deck-report-qc

openai/plugins

Use when running first-pass QC on Public Equity Investing decks or reports. Do not use as external-circulation certification.

deck-studio

staruhub/ClaudeSkills

PPT 生产 Agent：理解场景 → 推荐风格 → 先出大纲 → 定义页面 → 双通路交付（PPT 内容稿 / 逐页视觉图 / 信息图组图）。当用户要做汇报、路演、培训课件、提案、咨询报告的演示文稿，或要把大纲/文章做成 slides、deck、PPT、信息图、小红书图文、可视化传播图时使用。支持指定风格或从风格库推荐，支持 image 模型逐页出视觉稿。前身为 notion-infographic（v2）并吸收 ppt-designer 的设计原则。不用于：pptx 文件的纯技术操作（拆分/合并/提取，用宿主 pptx skill）、演讲稿或文章本体的写作（用 wechat-article-writer）、需要先做研究的内容调研（先走 deep-research 再回来）、单张海报或 logo 设计。

deckungsanfrage-pruefen

Klotzkette/claude-fuer-deutsches-recht

Strukturierte Pruefung von Versicherungsschadenfaellen und Deckungsablehnungen. Erfasst Versicherungsfall-Definition Bedingungswerk vorvertragliche Anzeigepflicht § 19 VVG Obliegenheits-Verletzungen §§ 28 31 VVG Leistungsfreiheit bei grob fahrlaessig herbeigefuehrtem Versicherungsfall § 81 VVG Stichtage Risikoausschluesse. Prueft Antraege auf Abschlagszahlung Frist § 14 VVG Verzug Verzinsung Verzugsschaden Anwaltskosten. Erstellt strukturierte Stellungnahme zur Deckungsablehnung mit Schwerpunkt Bedingungswerk-Auslegung nach §§ 305 ff. BGB AVB-Kontrolle Verbraucherschutz.

declarative-agent-developer

microsoft/skills

>

declarative-agents

github/awesome-copilot

'Complete development kit for Microsoft 365 Copilot declarative agents with three comprehensive workflows (basic, advanced, validation), TypeSpec support, and Microsoft 365 Agents Toolkit integration'

decompose-annual-rank-stats

Memento-Teams/Memento-Widesearch

Specialized decomposition strategy for annual-rank-stats tasks.

decompose-comparative-data-extraction

Memento-Teams/Memento-Widesearch

Orchestrates parallel retrieval of distinct temporal or spatial data points followed by a centralized calculation and verification step.

decompose-constrained-set-search

Memento-Teams/Memento-Widesearch

Orchestrates a multi-stage filter-and-verify process to find a specific entity satisfying three or more independent constraints.

decompose-entity-benchmarking

Memento-Teams/Memento-Widesearch

Specialized decomposition strategy for entity-benchmarking tasks involving multi-attribute data collection across a defined set of entities.

decompose-geographic-registries

Memento-Teams/Memento-Widesearch

Specialized decomposition strategy for geographic-registries tasks.

decompose-linear-multi-hop-dependency

Memento-Teams/Memento-Widesearch

Decomposes queries where each answer serves as the mandatory search key for the subsequent step in a sequential chain.

decompose-multimedia-source-verification

Memento-Teams/Memento-Widesearch

A two-stage strategy to isolate specific visual or bibliographic details from social media and video content by separating source identification from contextual extraction.

decompose-split-by-category

Memento-Teams/Memento-Widesearch

Specialized decomposition strategy for split-by-category tasks.

decompose-split-by-entity

Memento-Teams/Memento-Widesearch

Specialized decomposition strategy for split-by-entity tasks requiring deep attribute extraction for a discrete list of subjects.

decompose-split-by-rank-segment

Memento-Teams/Memento-Widesearch

Specialized decomposition strategy for split-by-rank-segment tasks.

decompose-split-by-time-period

Memento-Teams/Memento-Widesearch

Specialized decomposition strategy for tasks requiring exhaustive data collection over a continuous chronological range.

decompose-temporal-event-logs

Memento-Teams/Memento-Widesearch

Specialized decomposition strategy for temporal-event-logs tasks.

decomposition-formulation

yogsoth-ai/de-anthropocentric-research-engine

Strategy: 将复杂研究问题分解为可独立回答的子问题层级

decomposition-planning-roadmap

tech-leads-club/agent-skills

Creates step-by-step decomposition plans and migration roadmaps for breaking apart monolithic applications. Use when asking "what order should I extract services?", "plan my migration", "create a decomposition roadmap", "prioritize what to split", "monolith to microservices strategy", or tracking decomposition progress. Do NOT use for domain analysis (use domain-analysis) or component sizing (use component-identification-sizing).

decomposition-reconstruction

lyndonkl/claude

Breaks complex systems into atomic components, maps their relationships, and reconstructs them in optimized configurations to identify bottlenecks, critical failure points, and redesign opportunities. Use when dealing with complex systems that need simplification, identifying bottlenecks or critical failure points, redesigning architecture or processes for better performance, breaking down problems that feel overwhelming, analyzing dependencies to understand ripple effects, or when optimization requires understanding how parts interact.

decrease_volume_little

taracodlabs/aiden

Decreases the system volume by a small amount.

deductive-chain

yogsoth-ai/de-anthropocentric-research-engine

Derive logical consequences step by step from a given premise, building a traceable derivation chain.

deductive-hypothesis-generation

yogsoth-ai/de-anthropocentric-research-engine

Strategy: 从现有理论演绎推导假设

dedupe-against-corpus

lyndonkl/claude

Checks a candidate seed against the existing substacker corpus (seeds, drafts, published) for exact duplicates (sha256 fingerprint) and near-duplicates (title Jaccard, first-200-word Jaccard, shared topic cluster). Exact match exits as SKIPPED. Near-match links via related_seeds rather than creating a duplicate. Use after topic tagging and density scoring, before writing the seed. Trigger keywords: dedupe, duplicate, already thought, near-match, related seed, fingerprint.

dedupe-issue

warpdotdev/oz-for-oss

Detect duplicate GitHub issues by comparing the incoming issue's title and description against the repository issue list. Use during triage to identify 2+ existing issues that are similar and surface them as potential duplicates.

dedupe-issue-local

warpdotdev/oz-for-oss

Repo-specific dedupe guidance for oz-for-oss. Only the categories declared overridable by the core dedupe-issue skill may be specialized here.

deel

vm0-ai/vm0-skills

Deel API for global payroll and contractors. Use when user mentions "Deel",

deel-automation

ComposioHQ/awesome-claude-skills

"Automate Deel tasks via Rube MCP (Composio). Always search tools first for current schemas."

deep

xalgord/xalgorix

Exhaustive security assessment with maximum coverage, depth, and vulnerability chaining

deep-agents

langchain-ai/docs

Build batteries-included agents with planning, context management, subagent delegation, and sandboxed execution. Use for complex, multi-step tasks that need built-in capabilities.

deep-agents-core

langchain-ai/langchain-skills

INVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.

deep-agents-memory

langchain-ai/langchain-skills

INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.

deep-agents-orchestration

langchain-ai/langchain-skills

INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.

deep-analysis

cyberkaida/reverse-engineering-assistant

Performs focused, depth-first investigation of specific reverse engineering questions through iterative analysis and database improvement. Answers questions like "What does this function do?", "Does this use crypto?", "What's the C2 address?", "Fix types in this function". Makes incremental improvements (renaming, retyping, commenting) to aid understanding. Returns evidence-based answers with new investigation threads. Use after binary-triage for investigating specific suspicious areas or when user asks focused questions about binary behavior.

deep-code-review

expo/expo

In-depth design-focused code review - understands codebase context before evaluating PR changes, posts structured feedback to GitHub

deep-dive

nelsonwerd/idea-to-ship-skills

>-

deep-dive-ioc

dandye/ai-runbooks

"Perform exhaustive analysis of a critical IOC. Use when an IOC needs Tier 2+ investigation beyond basic enrichment - includes GTI pivoting, deep SIEM searches, correlation with related entities, and threat attribution. For escalated IOCs requiring comprehensive investigation."

deep-interview

tranhieutt/software_development_department

Conducts a structured technical deep-dive to gather detailed requirements, constraints, and decisions from the user. Use when starting a complex feature or when the user wants to be asked structured clarifying questions before implementation.

deep-investigation

vercel-labs/eve-sre-agent-template

Investigate an operational problem to determine what happened, assess its impact, and recommend next steps using a hypothesis-backed approach.

deep-learning-book

alirezarezvani/claude-skills

Use when studying or applying Goodfellow, Bengio and Courville's Deep Learning, or asking if its advice still holds. Indexes all 20 chapters with a 2016-to-2026 delta, plans reading paths with reading_path_planner.py and diagnoses training failures with training_diagnostics.py.

deep-live-cam

TerminalSkills/skills

>-

deep-research

affaan-m/ECC

Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.

deep-research

coreyhaines31/makerskills

When you want multi-source, multi-step research on a topic — competitor research before a sales call, market research for a new business idea, positioning angles, due diligence on a partnership or podcast guest, tech decision research (which DB, which auth), or any \"I need to actually understand X.\" Combines web search, URL fetch, agent-browser, last30days (Reddit/X/YouTube/HN/web recency), memory, and Notion. Outputs a structured brief with citations, contradictions, gaps, and recommended next steps. Archives every research run to ~/.config/makerskills/deep-research/archive/ so past work is searchable. Triggers on \"/deep-research,\" \"research X,\" \"investigate X,\" \"do a deep dive on X,\" \"look into X,\" \"what's actually happening with X,\" \"due diligence on X,\" \"validate this market.\" Differs from a one-shot web search: this is multi-pass with verification. Not for standing monitoring (radar) or pulling one post or video (social-fetch, watch-video).

deep-research-team

malob/nix-config

>

deep-research-v2

diegosouzapw/awesome-omni-skills

Gemini Deep Research Skill workflow skill. Use this skill when the user needs Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

deep-review

compozy/agh

Deep review of branch diffs, working trees, or GitHub PRs at any size. Use when the user asks for CodeRabbit-grade review, an incremental re-review after new pushes, publication of findings to a PR, a cross-LLM peer-review verdict round, or conformance review against spec artifacts. Don't use for applying fixes, reviewing specs or PRDs as documents, or quick single-file feedback.

deep-security-scan

openai/codex-security

Run repeated Standard security scans of a repository or scoped path when the user requests a deep, exhaustive, or multi-pass audit. For changes to a PR, commit, branch or working tree, use security-diff-scan.

deep-survey

yogsoth-ai/de-anthropocentric-research-engine

Precise, targeted investigation of a specific sub-problem — few papers, all read in full depth. High paper-research ratio (50% deep-read rate). Use when the user knows exactly what they need to understand and requires detailed technical analysis with equations, hyperparameters, and specific claims extracted.

deep-visual-proteomics-agent

swaruplab/operon

AI-driven integration of cellular imaging, laser microdissection, and ultra-sensitive mass spectrometry for spatially-resolved single-cell proteomics.

deep-web-search

yogsoth-ai/de-anthropocentric-research-engine

Full-page web reading for non-academic perspectives — blogs, tech reports, product pages, industry analysis. Spawns a subagent to read pages in isolated context. Hard constraint: at least 30 web pages read in full.

deep-work

alirezarezvani/claude-skills

Use when someone wants to plan a deep work day, time-block their calendar or task list, budget or cut shallow work, protect focus hours, track deep-work sessions and streaks, run an end-of-day shutdown ritual, or says "/deep-work" or "/time-block". Classifies tasks deep vs shallow, builds an energy-first time-blocked schedule that refuses deep demand past the 4-hour ceiling, batches shallow work into at most two windows, and logs focus sessions against a weekly target.

deepagents

langchain-ai/docs

Analyze Deep Agents Python library releases against LangChain Deep Agents docs and prepare one-feature documentation updates.

deepagents-architecture

existential-birds/beagle

Guides architectural decisions for Deep Agents applications. Use when deciding between Deep Agents vs alternatives, choosing backend strategies, designing subagent systems, or selecting middleware approaches.

deepagents-code

langchain-ai/docs

Analyze Deep Agents Code releases against LangChain Deep Agents Code docs and prepare one-feature documentation updates.

deepagents-code-review

existential-birds/beagle

Reviews Deep Agents code for bugs, anti-patterns, and improvements. Use when reviewing code that uses create_deep_agent, backends, subagents, middleware, or human-in-the-loop patterns. Catches common configuration and usage mistakes.

deepagents-implementation

existential-birds/beagle

Implements agents using Deep Agents. Use when building agents with create_deep_agent, configuring backends, defining subagents, adding middleware, or setting up human-in-the-loop workflows.

deepagents-plugin-discovery

langchain-ai/deepagents

Discover plugins from configured dcode marketplaces when a capability is missing or the user asks about available, disabled, not-yet-installed, or outdated plugins and connected marketplaces.

deepagents-python-quickstart

langchain-ai/langchain-skills

Scaffold a minimal local Deep Agent in Python by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.

deepagents-thread-inspector

langchain-ai/deepagents

Inspect and explain conversations in the local Deep Agents Code SQLite session store. Use to look up the current thread's title or name, as a fallback when LangSmith trace tooling is unavailable, for offline or untraced sessions, or when asked to identify or summarize a local dcode thread, inspect checkpoint metadata, list recent local threads, or parse $DEEPAGENTS_HOME/.state/sessions.db and a thread UUID or prefix.

deepagents-typescript-quickstart

langchain-ai/langchain-skills

Scaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.

deepagentsjs

langchain-ai/docs

Analyze Deep Agents TypeScript releases against LangChain Deep Agents docs and prepare one-feature documentation updates for JS-facing content.

deepchat-data-import

ThinkInAIXYZ/deepchat

Help developers build third-party tools that import, inspect, migrate, or analyze DeepChat data. Use when Codex needs to work with DeepChat provider configuration, model configuration, MCP/app settings, sessions, messages, legacy chat data, `agent.db`, `chat.db`, SQLCipher encrypted SQLite, Electron safeStorage wrapped passwords, Tauri importers, or native macOS/Windows/Linux data access.

deepchat-release

ThinkInAIXYZ/deepchat

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 English bullets first and Chinese bullets second, run release checks, create or update versioned release branches such as release/v1.0.1, continue a half-finished release, fast-forward main with the documented release flow, create or push version tags, or clean up release branches after publishing.

deepchat-sdd

ThinkInAIXYZ/deepchat

Use before substantial DeepChat code, configuration, documentation, test, build, feature, issue, refactor, or architecture changes that need a durable spec. Skip trivial style fixes, small localized logic changes, routine docs edits, and simple bugs unless the developer asks for SDD. Classify substantial work into feature SDD, complex-bug issue spec, or architecture SDD; ask before optional GitHub issue sync unless the developer explicitly requested sync.

deepchat-sdd-cleanup

ThinkInAIXYZ/deepchat

Use only when a developer explicitly asks to clean, prune, tidy, or organize DeepChat SDD documentation after implementation and validation. Scans docs/features, docs/issues, and docs/architecture; prefers multi-agent review when available; removes completed issue docs tied to closed GitHub issues, drops stale plan/tasks files from completed feature or architecture goals, and deletes obsolete feature or architecture docs.

deepchat-settings

ThinkInAIXYZ/deepchat

DeepChat app settings modification (DeepChat 设置/偏好) skill. Activate ONLY when the user explicitly asks to change DeepChat's own settings/preferences (e.g., theme, language, font size...). Do NOT activate for OS/system settings, editor settings, or other apps.

deepchem

K-Dense-AI/scientific-agent-skills

Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch workflows use torchdrug; for benchmark datasets use pytdc.

deepeval

TerminalSkills/skills

Expert guidance for DeepEval, the open-source framework for unit testing LLM applications. Helps developers write test cases, define custom metrics, and integrate LLM quality checks into CI/CD pipelines using a pytest-like interface.

deepgram

TerminalSkills/skills

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deepgram-automation

ComposioHQ/awesome-claude-skills

"Automate Deepgram tasks via Rube MCP (Composio). Always search tools first for current schemas."

deepgram-webhooks

hookdeck/webhook-skills

>

deepinit

first-fluke/fullstack-starter

Initialize project harness — AGENTS.md as table of contents,

deeppapernote

917Dhj/DeepPaperNote

Generate a high-quality deep-reading note for a single paper and write it into an Obsidian-style vault. Use when the user gives a paper title, DOI, URL, arXiv ID, Zotero item, or local PDF and wants a polished Markdown note with strong structure, evidence-based analysis, and figure placeholders.

deepread

alirezarezvani/claude-skills

Use when the user asks to deeply read a book, article, PDF, or document set; extract claims and evidence; build a knowledge map; or learn through Feynman explanation and recall. Covers quick, deep, map, Feynman, and whole-book reading modes.

deepsec

vercel-labs/deepsec

Use deepsec (an AI-powered vulnerability scanner) — one-shot initialization, resumable setup, project/model credentials, scans, generated or hand-authored matchers, and plugins. Activates when the user asks how to initialize, scan, configure, resume, or extend deepsec.

deepseek

vm0-ai/vm0-skills

DeepSeek API for AI model inference. Use when user mentions "DeepSeek",

deepspeed

Orchestra-Research/AI-Research-SKILLs

Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attention

deeptools

K-Dense-AI/scientific-agent-skills

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

deeptools-ngs-analysis

jaechang-hits/SciAgent-Skills

NGS CLI for ChIP/RNA/ATAC-seq. BAM→bigWig with RPGC/CPM/RPKM, sample correlation/PCA, heatmaps/profiles around features, fingerprints. For alignment use STAR/BWA; for peak calling use MACS2.

deepwork-tracker

aAAaqwq/AGI-Super-Team

Track deep work sessions locally (start/stop/status) and generate a GitHub-contribution-graph style minutes-per-day heatmap for sharing (e.g., via Telegram). Use when the user says things like “start deep work”, “stop deep work”, “am I in a session?”, “show my deep work graph”, or asks to review deep work history.

deepxiv

wanshuiyin/Auto-claude-code-research-in-sleep

Search and progressively read open-access academic papers through DeepXiv. Use when the user wants layered paper access, section-level reading, trending papers, or DeepXiv-backed literature retrieval.

default-skill

EveryInc/compound-engineering-plugin

Default skill

defect-detection-ai

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

AI-powered construction defect detection using computer vision. Identify cracks, spalling, corrosion, and other defects in concrete, steel, and building components from images and video.

defender-quickscan

taracodlabs/aiden

Windows Defender: scans, threat history, signatures (PowerShell)

Defense-in-Depth Validation

obra/superpowers-skills

Validate at every layer data passes through to make bugs impossible