agentleFS
toneron2toneron2/agentic-platform/.claude/skills/capture/SKILL.md

capture

Skill2 starsChanged 10 months agoMITView on GitHub

Capture thoughts to inbox with automatic classification

We split this skill into the rules it gives an agent

3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 52 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Create Beads task if actionable

    line 22
  2. Very specific:

    When user says /capture [thought]:

    line 27
  3. Distinctive:

    Critical: Write to inbox FIRST, before any processing.

    line 46

“Common” is measured: kept by at least 6 in 10 of the 52 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Capture Skill - Brain2 Inbox

You are the capture interface for the Brain2 knowledge management system. Your role is to quickly capture thoughts with minimal friction, then classify and route them appropriately.

Core Function

Receive a thought from the user and:

  1. Immediately write to inbox (never lose data)
  2. Classify using AI
  3. Route to appropriate category
  4. Create Beads task if actionable
  5. Confirm what you did

Capture Protocol

When user says /capture [thought]:

Step 1: Write to Inbox (Immediate)

# Generate timestamp
TIMESTAMP=$(date +%Y-%m-%d-%H%M%S)

# Write to inbox
cat > brain/inbox/${TIMESTAMP}.md << 'EOF'
---
captured_at: [ISO8601 timestamp]
status: unprocessed
---

[The raw thought exactly as provided]
EOF

Critical: Write to inbox FIRST, before any processing. Never lose a capture.

Step 2: Classify

Analyze the thought and determine:

{
  "destination": "people|projects|ideas|admin|needs_review",
  "confidence": 0.0-1.0,
  "data": {
    "name": "Short title for the item",
    "context": "Additional extracted context",
    ...category-specific fields...
  }
}

Step 3: Route (if confidence > 0.6)

Based on destination:

People → brain/people/[name-slug].md

  • Extract person's name
  • Append or create file
  • Include: context, follow_ups, last_touched

Projects → brain/projects/[project-slug].md + Beads task

  • Extract project name
  • Create/update file
  • Create: bd create "[title]" -t task

Ideas → brain/ideas/[idea-slug].md

  • Extract idea title
  • Create one-liner summary
  • Store for later exploration

Admin → brain/admin/[task-slug].md + Beads task

  • Extract task name
  • Extract due date if mentioned
  • Create: bd create "[title]" -t task -p [priority]

Step 4: Confirm

Tell the user:

Filed to [Category]: [Title]
Confidence: [X.XX]
[If task created]: Task created: bd-[xxxx]

Classification Guidelines

People Indicators

  • Names mentioned: "Sarah said...", "Tom mentioned..."
  • Relationship context: "my manager", "the client"
  • Personal info: "she's looking for...", "he needs..."
  • Keywords: person, met, talked, said, mentioned

Projects Indicators

  • Multi-step work: "need to build...", "working on..."
  • Ongoing effort: "project:", "the [X] feature"
  • Collaboration: "we should...", "team needs..."
  • Keywords: project, build, implement, develop, create

Ideas Indicators

  • Exploration: "what if...", "idea:", "I wonder..."
  • Insights: "realized that...", "interesting that..."
  • Future possibilities: "someday...", "could be..."
  • Keywords: idea, thought, concept, maybe, what if

Admin Indicators

  • Single tasks: "need to...", "remember to..."
  • Dates mentioned: "by Friday", "next week"
  • Errands: "buy", "call", "schedule", "renew"
  • Keywords: todo, task, errand, deadline, due

Confidence Scoring

ScoreMeaningAction
0.9-1.0Very clearAuto-route
0.7-0.89Fairly confidentAuto-route
0.6-0.69BorderlineAuto-route with note
< 0.6UncertainKeep in inbox, ask user

Low Confidence Response

I'm not sure how to classify this (confidence: 0.45)

Could you clarify? Options:
- "person: ..." for people
- "project: ..." for projects
- "idea: ..." for ideas
- "admin: ..." for tasks

Or provide more context.

File Formats

Inbox Entry

---
captured_at: 2026-01-10T14:30:52Z
status: unprocessed
---

[Raw thought]

People Entry

---
name: Sarah Chen
context: Engineering manager at Acme Corp
last_touched: 2026-01-10
---

## Notes
- 2026-01-10: Mentioned she's looking for a new job
- 2026-01-05: Discussed API architecture

## Follow-ups
- Check in about job search

Projects Entry

---
name: API Refactor
status: active
beads_id: bd-a3f8
last_touched: 2026-01-10
---

## Context
Refactoring the REST API to improve performance.

## Notes
- 2026-01-10: Rate limit is 1000/hour
- 2026-01-08: Started planning phase

Ideas Entry

---
name: Dark Mode Toggle
one_liner: Add dark/light theme switching to the app
captured_at: 2026-01-10
---

## Notes
Users have been requesting this. Could improve accessibility.

## Related
- UI/UX improvements
- Accessibility features

Admin Entry

---
name: Renew car registration
due_date: 2026-01-15
status: todo
beads_id: bd-b2c1
---

## Notes
Registration expires Jan 15. Need emissions test first.

Example Captures

Input: "Sarah mentioned she's looking for a new job"

{
  "destination": "people",
  "confidence": 0.92,
  "data": {
    "name": "Sarah",
    "context": null,
    "follow_ups": "Check in about job search"
  }
}

Input: "project: need to finish the Q1 report by Friday"

{
  "destination": "projects",
  "confidence": 0.95,
  "data": {
    "name": "Q1 Report",
    "status": "active",
    "next_action": "Finish by Friday",
    "due_hint": "Friday"
  }
}

Input: "idea: what if we added a dark mode to the app"

{
  "destination": "ideas",
  "confidence": 0.88,
  "data": {
    "name": "Dark Mode",
    "one_liner": "Add dark/light theme switching to the app"
  }
}

Input: "remember to renew car registration"

{
  "destination": "admin",
  "confidence": 0.85,
  "data": {
    "name": "Renew car registration",
    "due_date": null,
    "notes": null
  }
}

Slug Generation

Convert titles to file-safe slugs:

  • Lowercase
  • Replace spaces with hyphens
  • Remove special characters
  • Truncate to 50 chars

Examples:

  • "Sarah Chen" → sarah-chen.md
  • "API Refactor Project" → api-refactor-project.md
  • "What if we added dark mode?" → what-if-we-added-dark-mode.md

Error Handling

ErrorAction
Inbox write failsReport error, do not proceed
Classification failsKeep in inbox as unprocessed
Beads command failsRoute anyway, note task creation failed
File existsAppend to existing file

Download now (ZIP)

  • Other versions54 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 54

    1. garrytan/gbrain★ 31ksame name
    2. manusco/resonance★ 38same name
    3. nimbalyst/nimbalyst-wiki★ 27same name
    4. Hassaan146/claude-skills★ 18same name
    5. ArcticFox2029/chamnan★ 9same name
    6. JaimeGBA/Ion★ 9same name
    7. sunitghub/canon-skills★ 9same name
    8. GavinGreenwood/agentic-workflow-template★ 4same name
    9. mhxie/Atelier★ 4same name
    10. Quarktex/qcobrain★ 4same name

    44 more not listed

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • Used alongsideProjects with it also use weekly, ingest and 9 more.

    Other files people use alongside this one.

    Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
    • gaiaaiagentSkill

      weekly

      Generate a weekly digest rolling up dailies into higher-level pattern analysis

      Also in 3 projects that use this

    • JaimeGBASkill

      ingest

      Digest an external source (article, paper, transcript, URL, book chapter) and integrate its content into the knowledge base

      Also in 8 projects that use this

    • AnthropicSkill

      brief

      Generate contextual briefings for legal work — daily summary, topic research, or incident response. Use when starting your day and need a scan of legal-relevant items across email, calendar, and contracts, when researching a specific legal question across internal sources, or when a developing situation (data breach, litigation threat, regulatory inquiry) needs rapid context.

      Also in 6 projects that use this

    • dubwoahSkill

      ask

      Answer questions about the codebase without generating or modifying any code. Use when the user wants to understand how something works, find where something is defined, or explore the project structure. Invoked with /ask.

      Also in 3 projects that use this

    • OpenAISkill

      bootstrap

      Project bootstrapping orchestrator for repos that depend on Vercel-linked resources (databases, auth, and managed integrations). Use when setting up or repairing a repository so linking, environment provisioning, env pulls, and first-run db/dev commands happen in the correct safe order.

      Also in 3 projects that use this

    • LangChainSkill

      remember

      Review the current conversation and capture valuable knowledge — best practices, coding conventions, architecture decisions, workflows, and user feedback — into persistent memory (AGENTS.md) or reusable skills. Use when the user says: (1) remember this, (2) save what we learned, (3) update memory, (4) capture learnings.

      Also in 3 projects that use this

  • In this repository6 other files it gives its agents.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

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