knowledge
Intelligent knowledge lookup using curated sources before any web search.
Skill by caiobellizzi
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/caiobellizzi-knowledge
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: devops, security
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Secrets
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- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/knowledge
What's inside
- Skill name
knowledge- Description
- Intelligent knowledge lookup using curated sources before any web search. Use when the query involves development, infrastructure, security, debugging, or technical architecture. Triggers: "how to fix", "best practice for", "how to configure", "how did we solve", "what's the best way to", "debug this error", "architecture for", "como resolver", "best practice para".
- License
- MIT
- Instructions
- 75 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Knowledge Consultation
Consult curated knowledge sources in strict tier order before resorting to web search.
## Source Hierarchy (MANDATORY order)
1. **Curated notebooks / internal docs** (zero hallucination — highest trust)
2. **Official library documentation** (use search_file or http_request for docs sites)
3. **Session history / prior decisions** (what was solved before, what was decided)
4. **Web search** (last resort only)
Never jump straight to web search because it feels faster. The hierarchy exists because higher tiers are more trustworthy.
## Consultation Flow
### Step 1: Classify the query
Determine which tier is most likely to have the answer:
- Errors / bugs → curated debug solutions
- Architecture / patterns → architecture decisions
- Framework / library API → official docs
- "How did we do X" / "Did we already solve Y" → session history
- Novel / current events → web search
### Step 2: Execute in tier order
**Tier 1 — Curated notebooks:**
Use read_file or search tools to look in project docs, ADRs, and internal knowledge files.
If answer found: use it and stop.
If insufficient: proceed to Tier 2.
**Tier 2 — Official documentation:**
Use http_request or search to access official library/framework docs.
If answer found: use it and stop.
If insufficient: proceed to Tier 3.
**Tier 3 — Session history:**
Search conversation history and prior decisions for relevant context.
Especially useful for "how did we do X", "why did we decide Y", "did we solve this before".
If answer found: use it and stop.
If insufficient: proceed to Tier 4.
**Tier 4 — Web search:**
Last resort. Prefer official sources (vendor blogs, release notes) over aggregators.
If you reach here for a library question, check whether Tier 2 was really exhausted first.
### Step 3: Feedback loop
When a solution was found outside the curated internal docs and is worth preserving:
Note it in your response with "Knowledge captured: [summary]" so it can be added to internal docs.
## Quick Routing Reference
| Query type | Primary tier |
|------------|-------------|
| Error / exception | Curated docs |
| Architecture decision | Curated docs |
| Framework API | Official docs |
| Version migration | Official docs |
| "Did we solve X" | Session history |
| Breaking news / changelog | Web search |
## Rules
1. NEVER do web search without first checking curated internal docs
2. ALWAYS note the source of your answer
3. PREFER official docs for library API questions — training data may be stale
4. USE session history for context about prior decisions ("how did we", "why did we decide")
5. Only solutions you've confirmed — not speculation
## Dry-run behavior
If the trigger contains `--dry-run`, print the steps that would execute and the arguments extracted, then stop without taking any action.From caiobellizzi/ultra-workshop, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 21, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/caiobellizzi/ultra-workshop
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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knowledge skill. Agent Mart. https://agentmart.dev/skills/caiobellizzi-knowledge (last updated 2026-10-24)