Brain-dump organizer. Catches an unstructured stream of mixed thoughts, tasks, and ideas and transforms it into a clean four-section actionable system with zero information loss.

What it does

When the user dumps (explicitly with phrases like "brain dump" / "let me get this out of my head", or implicitly by pasting a long unstructured block of mixed ideas), the skill:

Captures everything (zero loss; trivial items go in)
Asks at most ONE mid-organization clarifying question — only if a single item is genuinely ambiguous between task and project
Returns four sections:
- Projects & Ideas — clustered themes with embedded questions/decisions
- Tasks — flat scannable action list
- Connections — real workspace links (Glob/Grep verified — never fabricated)
- How I Can Help — concrete offers with what + where
Ends with a directive question: "Which of these should I tackle?"
Waits for the user's pick before any further action.

When the dump is small (≤5 items, unrelated), the skill drops into a compressed output instead of forcing 4 sections.

Source spec

This skill is a Path-B direct conversion of megaprompts/05-capture-megaprompt.md (PR #657). The megaprompt is the canonical spec; this plugin is the working implementation. Drift between the two is a bug — re-grill with /cs:grill-with-docs if they diverge.

Plugin layout

File	Role
`skills/capture/SKILL.md`	The skill itself (Claude reads this when triggered)
`skills/capture/scripts/workspace_inventory.py`	Glob+Grep helper for Section 3 — given a working dir + keyword list, returns a structured inventory of file matches + folder structure. Stdlib-only.
`skills/capture/scripts/dump_classifier.py`	Regex-classify dump lines into task / decision / question / project-component. Heuristic, not authoritative.
`skills/capture/scripts/complexity_estimator.py`	Count items in dump; recommend full 4-section vs compressed output format.
`skills/capture/references/workspace_detection.md`	Context-specific detection tactics (CLI / web / MCP / inaccessible)
`skills/capture/references/voice_preservation.md`	Concrete examples of corporate-speak anti-patterns
`skills/capture/references/complexity_matching.md`	When to compress vs full 4-section, with worked examples
`agents/cs-capture.md`	Capture-organizer persona (no-fabrication, voice-preservation enforcer)
`commands/cs-capture.md`	`/cs:capture <dump>` slash command for explicit invocation

Quick start

# Run the workspace-inventory helper against this repo
python skills/capture/scripts/workspace_inventory.py --root . --keywords "skill,megaprompt,capture"

# Classify a dump file
python skills/capture/scripts/dump_classifier.py path/to/dump.txt

# Estimate output complexity
python skills/capture/scripts/complexity_estimator.py path/to/dump.txt

License

MIT.