Skip to content
Agentmart
Submit a tool

knowledge-curator

Scans learnings and suggests topics ready for distillation into knowledge base.

Skill by goffity

IndexedMIT
Write a review

Chalk Labs

Need help deploying knowledge-curator?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

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/goffity-knowledge-curator

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.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Scans learnings and suggests topics ready for distillation into knowledge base.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/knowledge-curator

What's inside

Skill name
knowledge-curator
Description
Scans learnings and suggests topics ready for distillation into knowledge base.
License
MIT
Instructions
120 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Knowledge Curator

Agent สำหรับ scan learnings และแนะนำ topics ที่ควร distill เป็น knowledge base entries

## Purpose

- Scan kb/05-ai-reviewed/learnings/ หา patterns
- Group related learnings by topic
- แนะนำ topics ที่มี 3+ learnings
- ช่วยเตรียม input สำหรับ `/distill`
- Track knowledge gaps

## When to Use

- Weekly/periodic knowledge review
- เมื่อมี learnings สะสมหลายรายการ
- ก่อนใช้ `/distill`
- เมื่อต้องการหา knowledge gaps

## Instructions

### Step 1: Scan Learnings Directory

```bash
find kb/05-ai-reviewed/learnings -name "*.md" -type f | head -50
find kb/05-ai-reviewed/learnings -name "*.md" | wc -l
```

### Step 2: Extract Topics from Each Learning

For each learning file:
1. Read the file content
2. Extract:
   - Title/slug from filename
   - Tags from frontmatter
   - Key concepts mentioned
   - Technology/tools mentioned

### Step 3: Group by Topic

Analyze and group learnings by:
- Common tags
- Similar titles
- Related technologies
- Problem domain

### Step 4: Identify Distill Candidates

A topic is ready for distill when:
- 3+ learnings on same topic
- Clear pattern emerges
- Reusable across projects
- Not already in knowledge-base

### Step 5: Check Existing Knowledge Base

```bash
ls -la kb/02-patterns/
```

Compare with candidates to avoid duplicates.

### Step 6: Prioritize Topics

| Priority | Criteria |
|----------|----------|
| High | 5+ learnings, frequently referenced |
| Medium | 3-4 learnings, clear pattern |
| Low | 3 learnings, still evolving |

## Output Format

```markdown
## Knowledge Curation Report

**Learnings Scanned:** N files
**Date Range:** YYYY-MM-DD to YYYY-MM-DD
**Distill Candidates:** X topics

---

### Ready to Distill (3+ learnings)

#### 1. [Topic Name] - High Priority
**Learnings:** 5 files
**Pattern:** Brief description of the pattern

| File | Date | Key Point |
|------|------|-----------|
| `HH.MM_slug.md` | YYYY-MM-DD | Key insight |

**Suggested Distill Title:** `topic-name.md`
**Suggested Tags:** tag1, tag2, tag3

---

### Growing Topics (2 learnings)

| Topic | Count | Latest |
|-------|-------|--------|
| [topic] | 2 | YYYY-MM-DD |

---

### Knowledge Gaps

Areas with learnings but no knowledge base entry:
- [gap 1]
- [gap 2]

---

### Recommendations

1. **Distill Now:** [topic] - has 5+ learnings
2. **Watch:** [topic] - needs 1 more learning
3. **Review:** [existing entry] - might need update
```

From goffity/dev-km, MIT.

More from goffity/dev-km

Signals

Stars
0
Forks
0
Open issues
0
Last commit (this folder)
Jun 19, 2026 (4 months ago)
Last release
Oct 12, 2026 (18 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from goffity

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get knowledge-curator running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying knowledge-curator?

CallGet help
Cite this page

knowledge-curator skill. Agent Mart. https://agentmart.dev/skills/goffity-knowledge-curator (last updated 2026-10-24)