Browse Skills — Page 89
32,221 public skills · showing 8,801–8,900
- 100/100
anthropics/debug-zoom-integration
anthropics/knowledge-work-plugins
Debug broken Zoom implementations quickly. Use when auth, webhooks, SDK joins, MCP transport, or real-time media workflows are failing and you need to isolate the layer before proposing a fix.
- 100/100
debugger
benjaminasterA/antigravity-awesome-skills
Debugging specialist for errors, test failures, and unexpected
- 100/100
debugger-v2
diegosouzapw/awesome-omni-skills
debugger workflow skill. Use this skill when the user needs 'Debugging specialist for errors, test failures, and unexpected and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
debugging
code-yeongyu/oh-my-openagent
MUST USE for any real runtime debugging across ANY language or binary — crashes, silent failures, wrong responses, stuck processes, memory leaks, async misbehavior, unexplained timing, reverse engineering. Runs a hypothesis-driven loop: form ≥3 hypotheses, investigate in parallel, after 2 failed rounds spawn Oracles from orthogonal angles, confirm root cause, lock with a failing test, fix minimally, QA by actually USING the system, scrub artifacts. The actual HOW lives in `references/` — READ THEM. Triggers: 'debug this', 'why is X not working', 'hanging', 'attach a debugger', 'reverse engineer', 'pwndbg', 'gdb', 'lldb', 'node inspect', 'tsx debug', 'pdb', 'dlv', 'delve', 'rust-gdb', 'set a breakpoint', 'context window exploded', 'why is the response empty', 'attach the debugger', 'debug it', 'why is this happening', 'trace this bug', 'reproduce and fix', 'silent failure', 'HTTP 200 but empty', 'why did it stop', 'inspect the binary', 'reverse engineering', 'playwright'.
- 100/100
debugging-and-error-recovery
addyosmani/agent-skills
Guides systematic root-cause debugging. Use when tests fail, builds break, behavior doesn't match expectations, or you encounter any unexpected error. Use when you need a systematic approach to finding and fixing the root cause rather than guessing.
- 75/100
debugging-computerd-fuse
cloudflare/computer
Debug computerd in real-FUSE mode end-to-end without workerd, vitest-pool-workers, or wrangler in the loop. Boot the linux-x64 binary in a privileged docker container, drive its capnweb /api endpoint from Node, simulate DO-side sync from a SQLiteTestStorage, and isolate FUSE-related deadlocks. Load when a real-FUSE bug reproduces locally but unit tests pass, when the harness vitest tests hang against a real container, or when you need to attribute a wedge to FUSE vs sync vs exec.
- 100/100
debugging-dags
astronomer/agents
Comprehensive DAG failure diagnosis and root cause analysis. Use for complex debugging requests requiring deep investigation like "diagnose and fix the pipeline", "full root cause analysis", "why is this failing and how to prevent it". For simple debugging ("why did dag fail", "show logs"), the airflow entrypoint skill handles it directly. This skill provides structured investigation and prevention recommendations.
- 100/100
debugging-hermes-tui-commands
NousResearch/hermes-agent
Debug Hermes TUI slash commands: Python, gateway, Ink UI.
- 100/100
debugging-instruments
dpearson2699/swift-ios-skills
Debug iOS apps and profile performance using LLDB, the interactive Memory Graph Debugger, and Instruments. Use for crashes, retain-cycle inspection, hangs, build failures, and generic CPU, memory, energy, or network profiling. Use ios-memgraph-analysis for .memgraph capture, leaks CLI ownership paths, or persistent heap growth; use ios-ettrace-performance for ETTrace capture and JSON.
- 100/100
debugging-log-analyser
mohitagw15856/pm-claude-skills
Parse error logs, stack traces, and crash reports into a structured root cause diagnosis. Use when sharing a log, stack trace, error output, or crash dump. Produces a structured diagnosis with probable root cause, affected code path, suggested fix, and next debugging steps.
- 100/100
debugging-mutations
serac-labs/serac
Verify what changed on a ServiceNow instance after a tool call — sys_audit inspection, syslog/transaction logs, session context, Flow Designer execution logs, outbound HTTP traces.
- 100/100
debugging-network-issues
daymade/claude-code-skills
Evidence-driven investigation for network, streaming, and protocol-layer bugs where symptoms don't match the obvious cause. Use when debugging connection resets (ECONNRESET, HTTP/2 RST_STREAM, INTERNAL_ERROR), SSE or long-polling stalls, fixed-time connection drops, CDN/proxy/CGNAT idle timeouts, or symptoms like "socket closed unexpectedly", "stream interrupted", "fails after N seconds", "works sometimes but not always", "upstream silent for X seconds". Applies falsification-first layered isolation to pin down the responsible network layer instead of stacking assumptions.
- 100/100
debugging-strategies
wshobson/agents
Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.
- 100/100
debugging-strategies
benjaminasterA/antigravity-awesome-skills
Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance iss...
- 100/100
debugging-strategies-v2
diegosouzapw/awesome-omni-skills
Debugging Strategies workflow skill. Use this skill when the user needs Transform debugging from frustrating guesswork into systematic problem-solving with proven strategies, powerful tools, and methodical approaches and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
debugging-testing
Tibsfox/gsd-skill-creator
Use when the user reports a bug they can't reproduce, asks where to start debugging, or mentions a Heisenbug / production-only failure. Drives the observe→hypothesize→predict→test→iterate scientific method.
- 100/100
debugging-toolkit-smart-debug
benjaminasterA/antigravity-awesome-skills
Use when working with debugging toolkit smart debug
- 100/100
debugging-toolkit-smart-debug-v2
diegosouzapw/awesome-omni-skills
debugging-toolkit-smart-debug workflow skill. Use this skill when the user needs working with debugging toolkit smart debug and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
debugging-websocket-issues
AgentWorkforce/relay
Use when seeing WebSocket errors like "Invalid frame header", "RSV1 must be clear", or "WS_ERR_UNEXPECTED_RSV_1" - covers multiple WebSocketServer conflicts, compression issues, and raw frame debugging techniques
- 100/100
debugging-wizard
Jeffallan/claude-skills
Parses error messages, traces execution flow through stack traces, correlates log entries to identify failure points, and applies systematic hypothesis-driven methodology to isolate and resolve bugs. Use when investigating errors, analyzing stack traces, finding root causes of unexpected behavior, troubleshooting crashes, or performing log analysis, error investigation, or root cause analysis.
- 100/100
debugging-workflows
github/gh-aw
Diagnose gh-aw failures using logs and audits; follow the shared strategy for patches and permitted active debug loops.
- 75/100
debugging-wsd-fuse
cloudflare/workspace
Debug wsd in real-FUSE mode end-to-end without workerd, vitest-pool-workers, or wrangler in the loop. Boot the linux-x64 binary in a privileged docker container, drive its capnweb /ws endpoint from Node, simulate DO-side sync from a SQLiteTestStorage, and isolate FUSE-related deadlocks. Load when a real-FUSE bug reproduces locally but unit tests pass, when the harness vitest tests hang against a real container, or when you need to attribute a wedge to FUSE vs sync vs exec.
- 100/100
debugview
microsoft/skills
|
- 100/100
decibel
eric861129/SKILLS_All-in-one
Decibel on-chain perpetual futures trading platform on Aptos. Covers trading engine, orderbook, TypeScript SDK, REST APIs, WebSocket streams, market data, position management, TWAP orders, and vault operations. Triggers on Decibel, perpetual futures, Aptos trading, on-chain trading, perps, orderbook, TWAP, market data, trading API.
- 100/100
decide
coreyhaines31/makerskills
When you have a decision to make and want a structured workflow that picks the load-bearing questions, walks through them, reaches a call (or "wait"), and archives the rationale for future reference. Based on the 37signals Guide to Making Decisions (38 questions) plus house additions like Q39 opportunity cost ("what does saying yes displace?"). Triages to 6–8 relevant questions per decision instead of forcing the full set. Archives every decision to ~/.config/makerskills/decide/archive/ with a revisit date so you can check later whether the call was right. Triggers on "/decide," "help me decide," "should I [X]," "I need to make a decision about," "stuck on a decision," "deciding between," "go/no-go on," "what should I do about." This is both the decision-making workflow AND the decision log — making the decision is the act of logging it.
- 100/100
decide
alirezarezvani/claude-skills
/cs:decide <memo> — Log a decision to two-layer memory via decision-logger. Approved memo becomes durable; raw transcripts kept for reference. Use when the founder has approved a boardroom memo and the decision must become durable company memory — e.g. right after /cs:boardroom concludes.
- 100/100
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.
- 100/100
decision-framework
Tibsfox/gsd-skill-creator
Thinking frameworks for decisions and problem analysis. Use when evaluating options, root causes, or prioritizing.
- 100/100
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.
- 100/100
decision-helper
notque/vexjoy-agent
Weighted decision scoring for architectural choices.
- 100/100
decision-logger
alirezarezvani/claude-skills
Two-layer memory architecture for board meeting decisions. Manages raw transcripts (Layer 1) and approved decisions (Layer 2). Use when logging decisions after a board meeting, reviewing past decisions with /cs:decisions, or checking overdue action items with /cs:review. Invoked automatically by the board-meeting skill after Phase 5 founder approval.
- 100/100
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.
- 100/100
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".
- 100/100
decision-sensitivity
yogsoth-ai/de-anthropocentric-research-engine
Identify which uncertainties would actually change the research direction decision. Compute EVPI to prioritize uncertainty reduction.
- 100/100
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.
- 80/100
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.
- 100/100
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。
- 100/100
deck-design-pdf
appautomaton/presentation
>
- 100/100
deck-design-ppt
appautomaton/presentation
>
- 100/100
deck-factory
gongnyang/deck-factory
>-
- 100/100
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.
- 100/100
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.
- 100/100
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。
- 100/100
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.
- 80/100
declarative-agent-developer
microsoft/skills
>
- 100/100
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'
- 100/100
decompose-annual-rank-stats
Memento-Teams/Memento-Widesearch
Specialized decomposition strategy for annual-rank-stats tasks.
- 100/100
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.
- 100/100
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.
- 100/100
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.
- 100/100
decompose-geographic-registries
Memento-Teams/Memento-Widesearch
Specialized decomposition strategy for geographic-registries tasks.
- 100/100
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.
- 100/100
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.
- 100/100
decompose-split-by-category
Memento-Teams/Memento-Widesearch
Specialized decomposition strategy for split-by-category tasks.
- 100/100
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.
- 100/100
decompose-split-by-rank-segment
Memento-Teams/Memento-Widesearch
Specialized decomposition strategy for split-by-rank-segment tasks.
- 100/100
decompose-split-by-time-period
Memento-Teams/Memento-Widesearch
Specialized decomposition strategy for tasks requiring exhaustive data collection over a continuous chronological range.
- 100/100
decompose-temporal-event-logs
Memento-Teams/Memento-Widesearch
Specialized decomposition strategy for temporal-event-logs tasks.
- 100/100
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
- 100/100
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).
- 100/100
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.
- 100/100
decrease_volume_little
taracodlabs/aiden
Decreases the system volume by a small amount.
- 100/100
deductive-chain
yogsoth-ai/de-anthropocentric-research-engine
Derive logical consequences step by step from a given premise, building a traceable derivation chain.
- 100/100
deductive-hypothesis-generation
yogsoth-ai/de-anthropocentric-research-engine
Strategy: 从现有理论演绎推导假设
- 100/100
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.
- 100/100
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.
- 100/100
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.
- 0/100
deel
vm0-ai/vm0-skills
Deel API for global payroll and contractors. Use when user mentions "Deel",
- 100/100
deel-automation
ComposioHQ/awesome-claude-skills
"Automate Deel tasks via Rube MCP (Composio). Always search tools first for current schemas."
- 100/100
deep
xalgord/xalgorix
Exhaustive security assessment with maximum coverage, depth, and vulnerability chaining
- 100/100
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.
- 100/100
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.
- 100/100
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.
- 100/100
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.
- 100/100
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.
- 100/100
deep-code-review
expo/expo
In-depth design-focused code review - understands codebase context before evaluating PR changes, posts structured feedback to GitHub
- 80/100
deep-dive
nelsonwerd/idea-to-ship-skills
>-
- 100/100
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."
- 40/100
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.
- 100/100
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.
- 100/100
deep-learning-book
alirezarezvani/claude-skills
Study companion and working knowledge base for the Deep Learning textbook by Goodfellow, Bengio & Courville (MIT Press, 2016), read free at deeplearningbook.org. Indexes all 20 chapters, carries a 2016-to-2026 delta layer naming what the book got right, what was superseded (transformers, AdamW, diffusion, double descent) and what still holds, and ships four deterministic tools: a prerequisite-aware reading-path planner, a training-failure diagnostic, a capacity-and-regularization planner, and a parameter/FLOP/activation-memory calculator. Use when studying or teaching this book, planning a route through it, deciding whether a chapter's advice is still current, or translating its math into a training decision. It points at the official chapters — it never reproduces them.
- 95/100
deep-live-cam
TerminalSkills/skills
>-
- 100/100
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.
- 100/100
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.
- 100/100
deep-research-team
malob/nix-config
>
- 100/100
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.
- 100/100
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.
- 95/100
deep-security-scan
openai/codex-security
Use when the user asks for a deep, exhaustive, multi-pass, or variance-reducing repository-wide or scoped-path Codex Security scan. Run repeated complete independent Standard scans with the Codex Security deep-scan tool, which aggregates their validated findings and prepares the canonical artifacts; then complete the same scan once. Do not use for PRs, commits, branch diffs, or working-tree diffs.
- 100/100
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.
- 100/100
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.
- 100/100
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.
- 100/100
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.
- 100/100
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.
- 100/100
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.
- 100/100
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.
- 100/100
deepagents-plugin-discovery
langchain-ai/deepagents
Discover plugins from configured dcode marketplaces when a capability is missing or the user asks about available, disabled, or not-yet-installed plugins and connected marketplaces.
- 100/100
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.
- 100/100
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.
- 100/100
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.
- 100/100
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.
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