capture — Claude Code skill: what it does, how to install
Turns a messy stream of thoughts, tasks, and plans into a structured list. Use it when a brain dump needs sorting without upfront questions.
/plugin marketplace add alirezarezvani/claude-skills
/plugin install capture-skill@claude-code-skillsWhat capture does
The skill turns an unstructured stream of thoughts, tasks, and ideas into four sections: Projects and Ideas, Tasks, Connections, and How I Can Help. It responds to phrases such as “capture this” and “brain dump”, and it can also trigger when a long message mixes several topics without a clear structure.
Its rules group related items, preserve the user’s wording, and check the workspace for real connections. The workflow includes scripts/workspace_inventory.py for inspecting matching files and folders. When one item could be either a task or a project, the skill asks at most one clarifying question.
Install it when you regularly send large thought dumps to Claude Code and want them turned into actionable sections. For a single straightforward task, the four-section output may add unnecessary structure.
What it helps with
- sort a long brain dump
- group related ideas into projects
- turn loose thoughts into tasks
- match ideas with workspace files
- separate one-off tasks from projects
Example prompts for the agent
- “capture this: update the README, choose a name, and check the old notes”
- “brain dump: here is everything I want to do for the project”
- “I need to organize my thoughts: ...”
How to install capture
1Plugin marketplace
/plugin marketplace add alirezarezvani/claude-skills/plugin install capture-skill@claude-code-skillsThis installs the whole capture-skill plugin with all its skills
2Skills CLI (Vercel)
npx skills add alirezarezvani/claude-skills --skill capture -a claude-code3Manually: put the files in place
~/.claude/skills/capture/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/capture/
Manually: put the files in place
.agents/skills/capture/SKILL.mdFor all projects use ~/.agents/skills/
Manually: put the files in place
.cursor/skills/capture/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install alirezarezvani/claude-skills capture2Manually: put the files in place
.github/skills/capture/SKILL.mdPlatform CLI
gemini skills install https://github.com/alirezarezvani/claude-skills --path productivity/capture/skills/captureManually: put the files in place
.devin/skills/capture/SKILL.mdThe legacy .windsurf/skills/ path still works
Claude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
From the same set349
The whole set →Similar
Questions about capture
How do I install capture in Claude Code?
Add the marketplace with /plugin marketplace add alirezarezvani/claude-skills, then install the skill with /plugin install capture-skill@claude-code-skills.
What does capture do?
It organizes mixed thoughts, tasks, and plans into Projects and Ideas, Tasks, Connections, and How I Can Help. It can start from explicit trigger phrases or an unstructured block of text.
How does capture find connections in a project?
The skill uses scripts/workspace_inventory.py to inspect matching files and folders, then compares them with the brain dump. Connections should come from the accessible workspace content.
Source text
SKILL.md · MIT
---
name: capture
description: "Captures and organizes chaotic brain dumps into a structured, actionable system with zero information loss. Use this skill whenever the user says 'capture this', 'brain dump', 'let me dump some ideas', 'I've got a bunch of thoughts', 'here's everything on my mind', 'idea dump', 'let me get this out of my head', 'I need to organize my thoughts', 'here's what I'm thinking', or any variation where someone is unloading a messy stream of ideas, tasks, thoughts, and plans wanting them turned into something coherent. Also trigger when the user pastes or dictates a long, unstructured block of mixed ideas — even without the exact phrase — the intent is the same. Fast-to-action by design: no upfront intake. Output is four sections (Projects/Ideas, Tasks, Connections, How I Can Help) ending with a directive question. Asks at most one mid-organization clarifying question when a single item is genuinely ambiguous between task and project."
license: MIT
metadata:
source_spec: "megaprompts/05-capture-megaprompt.md"
build_pattern: "Path B (direct conversion)"
version: 1.0.0
---
# 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.
## Section 4: How I Can Help
**Concrete offers, not abstract possibilities.** Every offer specifies what would be produced AND where it would go.
| ✅ Right pattern | ❌ Anti-pattern |
|---|---|
| "I can research Consensus MCP integration patterns and give you 3 options. Output: `docs/consensus-options.md`." | "You might want to look into integration approaches." |
| "I can draft the Q3 launch plan as a 1-pager. Output: chat reply, then `docs/q3-launch.md` if you want it filed." | "Maybe think about Q3 planning." |
| "I can scaffold the new auth module with the existing pattern from `src/users/`. Output: 4 files in `src/auth/`." | "We could explore auth options." |
End with the directive question:
> **Which of these should I tackle?**
## Compressed Output Pattern
When the dump has **5 or fewer items** and items are **unrelated** (no natural clustering), drop the 4-section format and use compressed:
```
## What I heard
- {item}
- {item}
- {item}
- ...
## How I can help
- {concrete offer with what + where}
- {concrete offer with what + where}
Which should I tackle?
```
The trigger is the `complexity_estimator.py` recommendation OR your judgment when no clusters exist. See `references/complexity_matching.md` for worked examples of when each format applies.
## Workspace Detection Strategy
| Context | Detection method |
|---|---|
| Claude Code CLI | Glob for files matching dump keywords; Grep for content matches; read top-level structure. Use `scripts/workspace_inventory.py`. |
| Claude.ai with project | Check project knowledge files for thematic overlap. List file titles; surface matches by keyword. |
| Connected tools (Notion, Drive, etc.) | Search via MCP if available. |
| No accessible workspace | State the limitation explicitly; ask user about their setup; do NOT fabricate. |
## Approval Gate
After the four (or compressed) sections are delivered:
- **Wait for the user's explicit pick** before doing anything else.
- If the user says "go" without picking a specific offer: honor it, but explicitly note any items you weren't 100% sure about so they can correct.
- The organization itself is the only auto-action. Every Section 4 offer requires green light.
## Error Handling
| Situation | Behavior |
|---|---|
| Workspace inaccessible | State this; skip Section 3 or surface "no workspace accessible" + ask about setup |
| Dump is very short (3-5 items) | Use compressed output; don't force 4 sections |
| Items are highly ambiguous | Flag in output, ask up to 1 clarifier (or skip clarifier and surface ambiguity in delivery) |
| Dump contains sensitive info | Acknowledge but don't echo verbatim if user asks for organization without quoting |
| Conflicting items in the dump | Surface the conflict in Section 1 or 3 explicitly (`Conflict: X says A, Y says B`) |
| User says "go" before approval | Honor it, but explicitly note items you weren't sure about |
## Tooling
| Script | Role |
|---|---|
| `scripts/workspace_inventory.py` | Glob+Grep helper for Section 3. `python workspace_inventory.py --root . --keywords "k1,k2"` returns matches by keyword + folder structure. |
| `scripts/dump_classifier.py` | Regex-classifies each dump line into `task` / `decision` / `question` / `idea` / `project-component`. Heuristic — override with judgment. |
| `scripts/complexity_estimator.py` | Counts items, detects clustering signal, recommends `format=full` or `format=compressed`. |
## References
- `references/workspace_detection.md` — context-specific detection tactics (CLI / web / MCP / inaccessible)
- `references/voice_preservation.md` — corporate-speak anti-patterns with concrete examples
- `references/complexity_matching.md` — compressed vs full output, worked examples
## Anti-Patterns To Reject
- Fabricating workspace connections that weren't actually Glob/Grep-verified
- Dropping items deemed "trivial" — capture everything, let the user prune
- Corporate-ifying the user's casual language
- Forcing 4-section structure when input is small (5 simple tasks doesn't need it)
- Acting on Section-4 offers immediately without approval
- Splitting decisions/questions into a separate top-level category instead of embedding them in the relevant project
- Vague Section-4 offers ("you might want to consider…")
- Asking 3+ clarifying questions up front (breaks fast-to-action)
---
**Version:** 1.0.0
**Source spec:** `megaprompts/05-capture-megaprompt.md` (maintainer-local draft spec — gitignored, not present in the public repository)
**Build pattern:** Path B (direct conversion). Re-grill with `/cs-grill-with-docs` if drift between spec and implementation surfaces.
© Alireza Rezvani · MIT · alirezarezvani/claude-skills