topoteretes/cognee

Agent skills in the GitHub repository topoteretes/cognee, each with its code score out of 100.

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free

Repository score

62 / 100 C

Skills

27

Verified

0

Average skill score

57

GitHub stars

33,263

License

Apache-2.0

Open topoteretes/cognee on GitHub

27 skills in this repository

1. multiagent-memory-setup

   Import the user's own Claude Code and/or Codex session history (the prompts they typed and the agents' answers) into one cognee dataset, then answer questions over it, across ever…

   73B
2. cognee-migrations

   Use when dealing with cognee database migrations — understanding when they run automatically, checking or repairing migration state with cognee-cli upgrade/downgrade/stamp/current…

   71B
3. personalized-email

   Draft a reply to your newest Gmail email that knows what you discussed in your Granola meetings, what you promised the sender, and how you write, using cognee memory. Use when som…

   67C
4. self-hosted-companion

   Chat with a companion that knows your notes folder (a journal, an Obsidian vault, any .md or .txt files) and every earlier chat, using cognee memory with local databases. Use when…

   66C
5. company-brain-company-qa

   Build one company memory from a SQL database, a support ticket export and a folder of documents, linked into one graph by cognee, then answer questions that need several of those…

   65C
6. company-brain-follow-up-agent

   Turn your latest Granola call into next steps (owner, team, due date, and the Linear issue that already tracks each one) and post them to Slack, using cognee memory of your calls,…

   65C
7. docstring-author

   Write or improve Python docstrings on the ten files in pilot_files.md, making supported Cognee benefits and connections between capabilities explicit. Pass 1 of the docstring pilo…

   65C
8. google-workspace-memory

   Remember a user's Google Calendar, Gmail and Drive in one cognee memory and answer questions across them, by default preparing their client meetings of the coming week (which orde…

   65C
9. docstring-critic

   Review a docstring-author patch in the Cognee pilot. Independently verify truthfulness and promotional tone, preserve supported positive framing, and write the claim ledger. Pass…

   64C
10. cognee-forget

    Use when removing data from cognee memory with forget() in the SDK, HTTP API, or CLI — finding which dataset and document hold the content to delete (listing datasets and data ite…

    62C
11. cognee-improve-sessions

    Use when working with cognee's session memory or improve() — storing conversation turns, agent traces and feedback with session_id, bridging sessions into the permanent graph, rea…

    62C
12. cognee-permissions

    Use when working with cognee's users, permissions, and multi-tenancy — creating users, tenants and roles, sharing datasets (read/write/delete/share grants), acting as a specific u…

    61C
13. cognee-server

    Use when the user wants to run the cognee API server (and optional UI) on their own machine — starting it, checking it's healthy, connecting the SDK or other clients to it, and ch…

    61C
14. cognee-ingestion

    Use when putting data into cognee memory with remember() — choosing inputs (text, files, folders, URLs, repos, databases), datasets and node_sets, loaders, ontologies, the graph e…

    59C
15. cognee-docker

    Use when the user wants to run cognee with Docker or docker compose — trying it out from the prebuilt image, starting the API server in a container, or bringing up the full stack…

    57C
16. cognee-install

    Use when the user wants to install cognee and run their first remember → recall flow with the Python SDK — fresh setup, virtual env, extras selection, or a minimal working example.

    56C
17. cognee-cli

    Use when the user wants to drive cognee from the terminal with cognee-cli — remember/recall/forget/improve memory commands, managing datasets and config, or database migrations.

    55C
18. cognee-recall

    Use when querying cognee memory with recall() (or search()) — picking a search type, understanding auto-routing, scoping to datasets, node sets or sessions, getting context or cit…

    55C
19. cognee-custom-pipelines

    Use when building your own cognee processing — writing custom tasks, chaining them into a pipeline with run_custom_pipeline or the lightweight run_pipeline (from cognee.pipelines…

    53D
20. cognee-performance

    Use when cognee is slow, expensive, or hitting rate limits — speeding up or throttling ingestion (remember/cognify batching, chunk size, LLM and embedding rate limits, per-stage m…

    52D
21. cognee-integrations

    Use when the user wants to connect cognee to external services — switching LLM or embedding providers (OpenAI, Azure, Gemini, Anthropic, Ollama, OpenRouter), changing databases (P…

    50D
22. cognee-custom-graph-models

    Use when defining the shape of cognee's knowledge graph with graph_model= — writing DataPoint node classes, choosing identity and index fields so nodes merge and are searchable, d…

    49D
23. cognee

    Use this skill whenever the user asks about Cognee, AI memory, persistent agent memory, self-improving agents, agents learning from feedback, knowledge graphs, graph-based RAG, lo…

    48D
24. cognee-community

    Use when the user needs something that ships outside cognee core — community database adapters (Qdrant, Milvus, Weaviate, Redis, Pinecone, FalkorDB, Memgraph, DuckDB, NetworkX, …)…

    46D
25. skill-feedback-writer

    Use to identify missing instructions in another skill based on its output.

    40D
26. pr-comment-evaluator

    Use to judge whether a PR review comment sounds polite.

    37F
27. diff-risk-explainer

    Use to briefly explain small code diffs.

    35F

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.