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 sources together. Use when someone wants to connect their company's database, tickets and docs, or asks who owns, decided or is handling something across them. Runs locally; reads the sources, writes only to cognee's memory.
把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性，你确认后才安装。
读取 https://funcoding.ai/skills/topoteretes/cognee/company-brain-company-qa/install.md ，按里面的步骤帮我安装这个 Skill。
Runs the company brain cookbook in examples/cookbooks/company_brain/company_qa/. It
remembers a SQL database, a ticket export and a docs folder in the cognee dataset
company_qa, extracts them with one graph model so the same person, team or project
becomes one node, then answers a question across them. Setup, the scripts and what each
one does are in the cookbook's
README.md.
Run every command from the repo root.
[setup] line says so). Tell the user the answer comes from sample data.uv run python examples/cookbooks/company_brain/company_qa/company_qa.py --check
with the sources (--database URL [--tables a,b] --tickets FILE [FILE ...] --docs FOLDER), or
none for the sample.
[setup] MISSING: line names one fix. Don't create credentials yourself.
Tell the user which line to fix, using the README's "What it needs" table, and stop.--check, adding the user's question as
--ask "...". On the sample with no --ask, it asks a question that needs all three
sample sources.[ask] A:. Give it to the user. The [ingest] lines
say which sources went in.uv run python examples/cookbooks/company_brain/company_qa/scripts/ask.py "...".company_qa.py exits 1 with a line naming what went wrong. Run
that script from examples/cookbooks/company_brain/company_qa/scripts/ on its own to
look closer..env or a database URL's password.company_qa before it ingests (the [clear]
line). On the user's own data, pass --clear only when they asked to start over: it
forgets everything the dataset holds.--ui unless the user asked to browse the graph: it keeps running until
Ctrl+C.uv run cognee-cli forget --dataset company_qa
anthropics/skills180kCreate new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
测试
DietrichGebert/ponytail158kQuality audit of a whole repo: bugs, security holes, what breaks under real load, risky code without tests, slow paths, and what to delete, merge or split. Ranked, each finding explained in plain English. One-shot report, changes nothing. Use for "audit this codebase", "review the whole repo", "find bloat", "what can I delete", /ponytail-audit.
测试
DietrichGebert/ponytail158kQuality audit of the whole repo: bugs, security, real load, missing tests, speed, and what to delete. Most important first.
测试
DietrichGebert/ponytail158kQuality review of a diff: bugs, security, real load, missing tests, speed, and what to delete. Each finding says what goes wrong and how to fix it.
测试
addyosmani/agent-skills103kAutomates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.
测试
addyosmani/agent-skills103kRefines raw ideas into sharp, actionable concepts through structured divergent and convergent thinking. Use when an idea is still vague, when you need to stress-test assumptions before committing to a plan, or when you want to expand options before converging on one. Triggers on "ideate", "refine this idea", or "stress-test my plan".
测试