Agent skill · AI & Agents

keine-chat

Use this skill whenever the user wants to discuss, explore, or ask questions about a topic using the local knowledge base as grounding. Trigger on phrases like "what do you know about X", "let's talk about X", "explain X", "I'm trying to understand X", "discuss X with me", "what does the KB have on X", "help me think through X", "tell me about X", or any conversational question about a concept or idea. Also trigger when the user asks a question that could be answered from stored knowledge, even if they don't explicitly say "knowledge base". This is the default skill for knowledge-grounded conv

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill keine-chat --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/ai-llm/keine-chat/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Keine Chat A conversational skill for exploring ideas and answering questions using the local knowledge base. The KB is the primary source of truth — answer from it, be honest about its limits, and offer to fill gaps with web research when the user wants more. ## Mindset This is a conversation, not a report. Stay concise and direct. The goal is to give the user a grounded, honest answer — citing what the KB actually says, noting what it doesn't cover, and offering to go further if they want. --- ## Workflow ### Step 1 — Understand the question Before searching, make sure you understand what the user actually wants: - Is this a factual lookup ("what is X"), conceptual exploration ("how does X relate to Y"), or open-ended discussion ("let's think through X")? - What level of depth does the user seem to want? Match your answer to their tone. If the question is ambiguous, make a reasonable interpretation and proceed — you can clarify inline as you answer. ### Step 2 — Mine the knowledge base Search efficiently. Start broad, narrow as needed: ```sh # Check for relevant topic maps (fastest orientation) ls docs/maps/ # Check tags for the topic area ls docs/tags/ # Full-text search for k

What's inside
Steps it walks through
  1. Mindset
  2. Workflow
  3. Step 1 — Understand the question
  4. Step 2 — Mine the knowledge base
  5. Step 3 — Answer from the KB
  6. Step 4 — Surface gaps and offer to enrich
  7. Step 5 — Web research and KB enrichment (only if user approves)
  8. Tone and format
  9. What this skill is NOT for
Ships with 1 file
  • metadata.json
Commands it runs
Check for relevant topic maps (fastest orientation)
ls docs/maps/
Check tags for the topic area
ls docs/tags/
Full-text search for keywords
grep -ri "keyword" docs/ -l
Read a tag index to find related entries
cat docs/tags/<slug>.md
git add docs/ docs/tags/
git commit -m "docs: add <topic>"
More from claude-skill-registry
All skills →
About this skill
What does the keine-chat skill do?

Use this skill whenever the user wants to discuss, explore, or ask questions about a topic using the local knowledge base as grounding. Trigger on phrases like "what do you know about X", "let's talk about X", "explain X", "I'm trying to understand X", "discuss X with me", "what does the KB have on X", "help me think through X", "tell me about X", or any conversational question about a concept or idea. Also trigger when the user asks a question that could be answered from stored knowledge, even if they don't explicitly say "knowledge base". This is the default skill for knowledge-grounded conv

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill keine-chat --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going