В каталоге 183 730 навыков в 14 категориях.
Cross-reference GitHub, Linear, Slack, and PostHog with bidirectional sync for team briefs
Use when the user says 'cognee', asks about knowledge graph or graph memory, wants to switch memory backends, or needs a...
Use this skill whenever the user asks about Cognee, AI memory, persistent agent memory, self-improving agents, agents le...
Use when the user wants to drive cognee from the terminal with cognee-cli — remember/recall/forget/improve memory comman...
Use when the user needs something that ships outside cognee core — community database adapters (Qdrant, Milvus, Weaviate...
Use when defining the shape of cognee's knowledge graph with graph_model= — writing DataPoint node classes, choosing ide...
Use when building your own cognee processing — writing custom tasks, chaining them into a pipeline with run_custom_pipel...
Use when the user wants to run cognee with Docker or docker compose — trying it out from the prebuilt image, starting th...
Use when removing data from cognee memory with forget() in the SDK, HTTP API, or CLI — finding which dataset and documen...
Use when working with cognee's session memory or improve() — storing conversation turns, agent traces and feedback with...
Use when putting data into cognee memory with remember() — choosing inputs (text, files, folders, URLs, repos, databases...
Use when the user wants to install cognee and run their first remember → recall flow with the Python SDK — fresh setup,...
Use when the user wants to connect cognee to external services — switching LLM or embedding providers (OpenAI, Azure, Ge...
Use when dealing with cognee database migrations — understanding when they run automatically, checking or repairing migr...
Use when cognee is slow, expensive, or hitting rate limits — speeding up or throttling ingestion (remember/cognify batch...
Use when working with cognee's users, permissions, and multi-tenancy — creating users, tenants and roles, sharing datase...
Use when querying cognee memory with recall() (or search()) — picking a search type, understanding auto-routing, scoping...
Use when the user wants to run the cognee API server (and optional UI) on their own machine — starting it, checking it's...
Analyzes business workflows to identify automation opportunities, calculate ROI, and generate structured redesign recomm...
Cognitive systems skill for reasoning, memory, and agent behavior; use when designing agent workflows or mental-model to...
《认知觉醒》行动落地与习惯设计 Skill。用于核心卡点发生在启动前或持续机制上：目标模糊、计划过大、拖延、三分钟热度、打卡中断、希望减少无意识刷手机并建立替代习惯，或“道理都懂就是不做”。典型说法：怎么开始、帮我拆成今天一步、计划总落不了...
Design and implement the "brain" of AI agents. Use when defining agent memory strategy (short/long-term), building RAG p...
Apply Kahneman and Thaler's behavioral economics principles to marketing—understand how customers actually make decision...
Recognition and mitigation of systematic reasoning errors documented in the heuristics and biases tradition. Covers conf...
Iteration 15 of Multiplicity Cascade - Advanced cognitive chaff generation
《认知觉醒》成长问题路由器。仅用于一个请求同时出现至少两类候选问题，如焦虑与拖延、学习与专注、习惯与精力，且用户不知道先处理哪个，需要判断主矛盾、选择工作流或安排处理顺序。典型说法：既焦虑又拖延、工作健身考证全乱了、帮我综合梳理、先救哪个、...
Use when source material must be transformed into a compact, evidence-aware model for learning, decisions, or an Obsidia...
Keeps TypeScript/JavaScript functions readable for software developers by computing SonarSource Cognitive Complexity wit...
Use when you need a structured, non-validated intake for cognitive concerns. Not a validated cognitive screening instrum...
《认知觉醒》每日与每周反思 Skill。用于事件或一天、一周已经结束，用户能相对稳定地回看，希望把触动、情绪波动、关键行动、拖延、学习和冲突从流水账变成“描述经过—分析原因—改进措施”，寻找重复模式并确定下一周期改变。典型说法：复盘今天、晚...
Design docs that reduce cognitive load. Trigger: writing guides, READMEs, RFCs, onboarding, architecture, or review-faci...
Patrones de diseño de documentación cognitiva para borradores funcionales del proyecto. Prioriza legibilidad, progressiv...
《认知觉醒》事实—情绪—假设澄清 Skill。用于具体事件引发焦虑、愤怒、委屈、自责或内耗，且情绪仍在持续、反复卷入、急于判断他人动机，或暂时无法稳定叙述经过时，把事实、解释、情绪、担忧、诉求和可控项拆开。典型说法：我很慌、崩了、是不是他针...
当观察到或经历某种极端转化现象，或试图主动促成根本性观念转变时
《认知觉醒》专注、心智带宽与精力恢复 Skill。用于下一步已经明确且用户能够开始，但无法维持注意力、有效休息或按时重返任务，主要障碍是走神、做A想B、脑子多线程、疲惫低效、越努力越累，或工作学习的休息滑入短视频等高刺激信息流。典型说法：坐...
Apply cognitive science and HCI research to design decisions. Use when you need the scientific 'why' behind usability, e...
《认知觉醒》深度学习与反馈闭环 Skill。用于用户能够投入学习，但在理解、记忆、输出、自测、纠错、反馈或迁移上效果不佳，把读书、课程、考试、技术学习、面试准备、笔记和知识库从被动输入转成舒适区边缘的刻意练习与能力证据。典型说法：看完记不住...
Apply multilingual cognitive frames to re-approach complex tasks with targeted reasoning patterns and bias checks.
Don't overwhelm — chunk, scaffold, summarize first.
This skill should be used when the user asks to "implement", "build", "create", "add feature", "develop", "design", "arc...
La cantidad de esfuerzo mental requerido para procesar información. Use cuando diseñe interfaces complejas, flujos de on...
Analyse a learning task for cognitive load problems and recommend specific design improvements. Use when tasks overwhelm...
Measure and manage team cognitive load
認知負擔評估工具。作為決策樹、代理人、Code Review 的基本參考標準。用於: (1) 任務複雜度評估, (2) 代理人升級判斷, (3) 任務拆分建議, (4) 程式碼品質評估
認知負擔 Code Review 工具。用認知負擔視角進行程式碼審查。用於: (1) 程式碼品質評估, (2) 命名品質檢查, (3) 複雜度熱點識別, (4) 重構建議
Analyze and reduce cognitive load in code by identifying complex conditionals, deep nesting, shallow modules, excessive...
Store, find and curate lasting facts in the cognitive memory map.
Comprehensive cognitive mode management skill for the VERILINGUA x VERIX x DSPy x GlobalMOO integration. Enables automat...
Gorev tipine gore dusunme modu secimi. 5 mod -- analytical (derin analiz), creative (yaratici cozum), systematic (adim a...
Trigger: refine output, summarize output, compact logs, reduce cognitive load, remove duplicates. Refines heavy textual...
Check user and AI assumptions to reduce premature cognitive narrowing in early project, design, and decision discussions...
Core cognitive processes underlying human thought and behavior. Covers attention (selective, divided, sustained), memory...
説明的な文章に緩急を設計するための規範。緩急を装飾ではなく認知モードの切替（観察→逡巡→断定→再観察）と未回収の緊張の管理として扱い、文の拍、段落の密度波形、節の入り方、緩みと駄文の判別、執筆後の機械的な点検手順を定める。読み物として読ませ...
Classify an objective or question by Bloom's level and Webb's DOK. Do NOT use to write objectives (use objective-write).
Layer 6 Barton Cognitive Surrogate - build, train, validate psychological models with >90% fidelity
AI-human partnership paradigm — identity, consciousness integration, and the three eras of AI collaboration
Evidence-based CBT and DBT intervention skills — guided thought records, opposite action, DEAR MAN roleplay, crisis skil...
Continuous business health monitoring across 13 business domains. Scores domain health, generates periodic digests, dete...
Conservative close-parity updates to GOAL_STACK, BELIEF_STATE, SELF_MODEL, and PROCEDURES. Writes only explicit or mecha...
Deep-dive usability evaluation of specific user tasks. Simulates novice user cognition step-by-step to identify learnabi...
AWS Cognito user authentication and authorization service. Use when setting up user pools, configuring identity pools, i...
Drafts cognovit promissory notes with confession of judgment provisions, gated by mandatory jurisdictional enforceabilit...
Run Cogny marketing analysis tasks — fetch scheduled tasks, analyze ad accounts via MCP, report findings
Interact with the CoHalo control plane API to manage tasks, coordinate with other agents, and follow company governance....
Create new agents in CoHalo with governance-aware hiring. Use when you need to inspect adapter configuration options, co...
Cohere API for embeddings, RAG, reranking, and semantic search.
Generate text embeddings via Cohere Embed API
Use for networked animation issues in coherence — triggers not firing on remotes, late joiners stuck in T-pose, animator...
> Compiler: skill-compiler/1.0.0
Use for shared or contested networked objects in coherence — pickups, doors, seats, vehicles, mounts — where one client...
Use when an AI agent drives the coherence SDK's bake/schema/bindings workflow via Unity MCP. Covers triggering a bake, u...
Use when many networked entities (50+) cause bandwidth or CPU stress in coherence — crowds, swarms, bullet hells, large...
The LLM as consistency maintainer and orchestrator
Use when authoring a CoherenceSync prefab whose hierarchy contains a reference to another prefab that is itself Coherenc...
Use for persistent coherence worlds — cross-session saves, rejoinable rooms, growth/decay/cooldown timers, or any state...
Use when adding coherence multiplayer to an existing single-player Unity game — keeping solo and MP modes from one codeb...
Use when designing networked events or RPC dispatch in coherence — picking MessageTarget, ordered vs unordered, request/...
Use when a coherence [Sync] field's value depends on another synced field — derived/computed synced values that come out...
See Your Φ Field. Watch Identity Loops. Display Fragmentation.
Build a five-level rubric with coherent logic for a learning target within a developmental band. Use for Manning methodo...
Diagnoses and reviews the surface cohesive network — reference, substitution, ellipsis, conjunction, and lexical cohesio...
Continuously map built ChefFlow surfaces, classify wiring/access/completion/proof state, document every pass, route thro...
Trigger: cohesion, coupling, circular dependency, layer mixing. Detect low cohesion and excessive coupling.
Customer seeks access to cohort materials, workshop content, or live session recordings.
Standard method for slicing bookings, pipeline, and retention cohorts for diagnostics.
Analyze customer cohorts. Use when: acquisition cohorts, retention curves, LTV by cohort, behavioral segmentation.
Plan or interpret cohort analyses for users, customers, accounts, revenue, retention, activation, or behavior. Use when...
Structure a cohort analysis for retention, LTV, or behavioural patterns. Use when asked to run a cohort analysis, analys...
Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights....
Use when the user wants to analyze retention, cohort behavior, engagement trends, or understand how different user group...
Groups customers by acquisition period and tracks a retention or revenue metric across the periods that follow, returned...
Performs cohort analysis to understand user retention, engagement, and revenue patterns over time. Groups users by signu...
Create cohort analysis creator operations. Auto-activating skill for Data Analytics. Triggers on: cohort analysis creato...
Cohort Analysis Creator - Auto-activating skill for Data Analytics.Triggers on: cohort analysis creator, cohort analysis...
Facilitate cohort-based learning — weekly prompts, peer challenges, group projects, and community engagement.
Fit a retention curve to observed cohort data and project LTV — computed, not estimated. Use when someone has real cohor...
Customer asks about cohort schedules, timing, or when next cohort starts.
Use when the user asks about COHP (Crystal Orbital Hamilton Population), chemical bonding analysis, LOBSTER output, orbi...
Context compression for long coding sessions. Creates checkpoints (state snapshots) and maintains them as you work.
Coilcraft MPN encoding patterns, inductance value decoding, and handler guidance. Use when working with Coilcraft induct...