Capture

Capture — Brain-Dump Organizer

A fast-to-action skill for transforming unstructured streams of mixed thoughts, tasks, and ideas into a clean four-section actionable system with zero information loss.

Invocation Triggers

Explicit phrases (any of):

• "brain dump"
• "capture this"
• "let me dump some ideas"
• "I've got a bunch of thoughts"
• "here's everything on my mind"
• "idea dump"
• "let me just get this out of my head"
• "I need to organize my thoughts"
• "here's what I'm thinking"

Implicit signals (no phrase, but the intent is unmistakable):

• User pastes or dictates a long unstructured block of mixed ideas, tasks, plans
• Multiple unrelated thoughts in one message without organizing framing
• A wall of bullet-y text covering 3+ unrelated topics

When you detect an implicit trigger, run the skill. Do NOT ask "do you want me to organize this?" first — the dump itself IS the request.

Operating Principles (All Five Apply Always)

1. Capture everything. Zero loss. Trivial items go in; the user prunes later. Never silently drop something because it "seemed unimportant".
2. Preserve voice. If the user said "build something crazy with AI", do NOT restate as "Explore innovative AI-driven solutions." Keep the energy and the casual register. See references/voice_preservation.md for concrete anti-patterns.
3. Match output complexity to input. A 5-task dump does NOT get forced into 4 elaborate sections. See references/complexity_matching.md and the Compressed Output Pattern below.
4. Be honest about ambiguity. If you're unsure what something means, flag it. Don't guess silently.
5. No action without approval. The ONLY immediate action is the organization itself. Every offer in Section 4 waits for the user's explicit pick.

Grill-Me Mid-Organization Clarifier

Capture is fast-to-action by design. No upfront intake. The dump is enough — start organizing immediately.

The grill-me discipline applies as a single mid-organization clarifying question, asked only when one item in the dump is genuinely ambiguous between task and project, AND the misclassification would meaningfully change the output:

Quick clarification — one item in your dump could go either way. Is [X] a one-shot task or a multi-step project?

Why I'm asking: If I guess wrong on a borderline item I either bury a project as a task or inflate a task into a project that doesn't need the structure. One question per dump prevents that.

Stop condition: Max 1 clarifying question per dump. After the answer (or if no clarification was needed), deliver the four (or compressed) sections.

If the dump is unambiguous, skip the clarifier entirely.

Anti-pattern (do not do this): asking 3 clarifying questions up front. That breaks the dump-and-organize flow that makes capture useful.

Section 1: Projects & Ideas

Cluster related items into themed projects when natural clustering exists. This section also holds:

• Standalone creative sparks
• Half-formed concepts
• "What if" thoughts
• Embedded decisions (Decide: X or Y) and open questions (Q: ...) — kept WITHIN the relevant project, NOT extracted into a separate top-level category

Format per project:

### {Project name in user's voice}

- {component / sub-idea}
- {component}
- Q: {open question this project needs answered}
- Decide: {decision this project requires}

Use the user's words for the project name. If the user wrote "ai dating app for ferrets", do NOT rename it to "AI-Powered Pet Companion Platform".

Section 2: Tasks

Flat, scannable, action-oriented. Includes:

• Explicit todos
• Decisions framed as Decide: ...
• Open questions framed as Resolve: ...

If a task belongs to a project from Section 1, append [Project: X] to link it — but don't repeat the project's context.

Format:

- {task in imperative voice}  [Project: X if related]
- Decide: {decision}  [Project: X if related]
- Resolve: {open question}
- ...

Section 3: Connections

This is where the skill earns its keep — and where fabrication is forbidden.

Workflow:

1. Inventory the workspace — Glob for filename patterns matching dump keywords, Grep for content matches, read the top-level directory structure. Use scripts/workspace_inventory.py to do this deterministically.
2. Match dump items to existing content — files / folders relating to dumped items, prior thinking in documents, in-progress projects with overlap.
3. Surface dependencies within the dump — items that affect each other, themes, ordering implications.
4. Be honest about inaccessibility — if you can't inspect the workspace (no filesystem available, MCP not connected), say so explicitly. Do NOT make up plausible-sounding connections.

Hard rule: NEVER fabricate connections. Only surface ones actually found by Glob/Grep/Read. If no real connections exist:

Connections: No connections found — workspace inventory clean.

If the workspace is inaccessible:

Connections: No workspace accessible from here. If you're running this from Claude Code or have a project with files attached, I can fill this in. Want to share where this work lives?

See references/workspace_detection.md for the per-context detection-tactic catalog.