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Capture

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', …

goai
By alirezarezvani
17k2.4kUpdated 3 days agoPythonMIT

Skill Content

# 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`](../../../../megaprompts/05-capture-megaprompt.md)
**Build pattern:** Path B (direct conversion). Re-grill with `/cs:grill-with-docs` if drift between spec and implementation surfaces.

How to use

  1. Copy the skill content above
  2. Create a .claude/skills directory in your project
  3. Save as .claude/skills/claude-skills-capture.md
  4. Use /claude-skills-capture in Claude Code to invoke this skill

Claude Code Skills & Plugins — Agent Skills for Every Coding Tool

338 production-ready Claude Code skills, plugins, and agent skills for 13 AI coding tools.

The most comprehensive open-source library of Claude Code skills and agent plugins — also works with OpenAI Codex, Gemini CLI, Cursor, and 9 more coding agents. Reusable expertise packages covering engineering, DevOps, marketing (incl. AEO — Answer Engine Optimization for LLM citation), security (PreToolUse hooks), compliance, C-level advisory (incl. founder-mode CFO/CMO/CRO/CPO/COO/CHRO/CISO/GC/CDO/CAIO/CCO/VPE personas + 21 /cs:* slash commands), productivity (capture/email/reflect), an academic research stack (litreview/grants/dossier/patent/syllabus/pulse/notebooklm + hybrid router), and enterprise Research Operations (clinical-research/research-finance/market-research/product-research, v2.9.0).

Works with: Claude Code · OpenAI Codex · Gemini CLI · OpenClaw · Hermes Agent1 · Mistral Vibe2 · Cursor · Aider · Windsurf · Kilo Code · OpenCode · Augment · Antigravity

License: MIT Skills Agents Personas Commands Stars SkillCheck Validated

5,200+ GitHub stars — the most comprehensive open-source Claude Code skills & agent plugins library.


What Are Claude Code Skills & Agent Plugins?

Claude Code skills (also called agent skills or coding agent plugins) are modular instruction packages that give AI coding agents domain expertise they don't have out of the box. Each skill includes:

  • SKILL.md — structured instructions, workflows, and decision frameworks
  • Python tools — 533 CLI scripts (all stdlib-only, zero pip installs)
  • Reference docs — 676 templates, checklists, and domain-specific knowledge files

One repo, thirteen platforms. Works natively as Claude Code plugins, Codex agent skills, Gemini CLI skills, Hermes Agent skills, Mistral Vibe skills, and converts to more tools via scripts/convert.sh. All 533 Python tools run anywhere Python runs.

Skills vs Agents vs Personas

SkillsAgentsPersonas
PurposeHow to execute a taskWhat task to doWho is thinking
ScopeSingle domainSingle domainCross-domain
VoiceNeutralProfessionalPersonality-driven
Example"Follow these steps for SEO""Run a security audit""Think like a startup CTO"

All three work together. See Orchestration for how to combine them.


Quick Install

Gemini CLI (New)

# Clone the repository
git clone https://github.com/alirezarezvani/claude-skills.git
cd claude-skills

# Run the setup script
./scripts/gemini-install.sh

# Start using skills
> activate_skill(name="senior-architect")

Claude Code (Recommended)

# Add the marketplace
/plugin marketplace add alirezarezvani/claude-skills

# Install by domain
/plugin install engineering-skills@claude-code-skills          # 24 core engineering
/plugin install engineering-advanced-skills@claude-code-skills  # 25 POWERFUL-tier
/plugin install product-skills@claude-code-skills               # 12 product skills
/plugin install marketing-skills@claude-code-skills             # 43 marketing skills
/plugin install ra-qm-skills@claude-code-skills                 # 12 regulatory/quality
/plugin install pm-skills@claude-code-skills                    # 6 project management
/plugin install c-level-skills@claude-code-skills               # 28 C-level advisory (full C-suite)
/plugin install business-growth-skills@claude-code-skills       # 4 business & growth
/plugin install finance-skills@claude-code-skills               # 2 finance (analyst + SaaS metrics)

# Or install individual skills
/plugin install skill-security-auditor@claude-code-skills       # Security scanner
/plugin install playwright-pro@claude-code-skills                  # Playwright testing toolkit
/plugin install self-improving-agent@claude-code-skills         # Auto-memory curation
/plugin install content-creator@claude-code-skills              # Single skill

OpenAI Codex

npx agent-skills-cli add alirezarezvani/claude-skills --agent codex
# Or: git clone + ./scripts/codex-install.sh

OpenClaw

bash <(curl -s https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/scripts/openclaw-install.sh)

Manual Installation

git clone https://github.com/alirezarezvani/claude-skills.git
# Copy any skill folder to ~/.claude/skills/ (Claude Code) or ~/.codex/skills/ (Codex)

Multi-Tool Support (New)

Convert all 338 skills to 9 AI coding tools with a single script:

ToolFormatInstall
Cursor.mdc rules./scripts/install.sh --tool cursor --target .
AiderCONVENTIONS.md./scripts/install.sh --tool aider --target .
Kilo Code.kilocode/rules/./scripts/install.sh --tool kilocode --target .
Windsurf.windsurf/skills/./scripts/install.sh --tool windsurf --target .
OpenCode.opencode/skills/./scripts/install.sh --tool opencode --target .
Augment.augment/rules/./scripts/install.sh --tool augment --target .
Antigravity~/.gemini/antigravity/skills/./scripts/install.sh --tool antigravity
Hermes Agent~/.hermes/skills/python scripts/sync-hermes-skills.py --verbose
Mistral Vibe~/.vibe/skills/./scripts/vibe-install.sh

How it works:

# 1. Convert all skills to all tools (takes ~15 seconds)
./scripts/convert.sh --tool all

# 2. Install into your project (with confirmation)
./scripts/install.sh --tool cursor --target /path/to/project

# Or use --force to skip confirmation:
./scripts/install.sh --tool aider --target . --force

# 3. Verify
find .cursor/rules -name "*.mdc" | wc -l  # Should show 338

Each tool gets:

  • ✅ All 338 skills converted to native format
  • ✅ Per-tool README with install/verify/update steps
  • ✅ Support for scripts, references, templates where applicable
  • ✅ Zero manual conversion work

Run ./scripts/convert.sh --tool all to generate tool-specific outputs locally.


Skills Overview

338 skills across 16 domains:

DomainSkillsHighlightsDetails
🔧 Engineering — Core51Architecture, frontend, backend, fullstack, QA, DevOps, SecOps, AI/ML, data, Playwright Pro (test gen, flaky fix, migrations), self-improving agent (auto-memory curation), security suite, a11y auditengineering-team/
⚡ Engineering — POWERFUL78Agent designer, RAG architect, database designer, CI/CD builder, security auditor, MCP builder, AgentHub, Helm charts, Terraform, self-eval, llm-wiki, tc-tracker, autoresearch-agent, reliability portfolio (feature-flags-architect, kubernetes-operator, chaos-engineering, slo-architect), ship-gate, security-guidance PreToolUse hook, Matt Pocock skills (write-a-skill, caveman, grill-me, handoff, grill-with-docs)engineering/
🎯 Product17Product manager, agile PO, strategist, UX researcher, UI design, landing pages, SaaS scaffolder, analytics, experiment designer, discovery, roadmap communicator, code-to-prd, apple-hig-expertproduct-team/
📣 Marketing468 pods: Content, SEO + AEO (aeo — E-E-A-T audit, citation tracking across 5 LLMs), CRO, Channels, Growth, Intelligence, Sales + context foundation + orchestration routermarketing-skill/
🚀 Productivity6capture (brain-dump-to-action), email pair (inbox-setup + inbox-triage), reflect (journal), handoff (Matt Pocock-inspired), andreessen (market-first decision mode)productivity/
🎨 Marketing (top-level)1landing — single-file HTML landing-page generator (4 design styles, GSAP patterns, brand palette validator)marketing/
🔬 Research (academic)8research orchestrator (hybrid router + fallback) + 7 specialists: pulse, litreview, grants (NIH), dossier, patent, syllabus, notebooklmresearch/
🧪 Research Operations ✨v2.9.05Enterprise/cross-functional research: orchestrator + clinical-research (study design), research-finance (R&D program finance), market-research (sizing/survey/segmentation), product-research (user research) — each with onboarding + customization + opt-in autoresearch bridgeresearch-ops/
📋 Project Management9Senior PM, scrum master, Jira, Confluence, Atlassian admin, templates + bundled Atlassian Remote MCPproject-management/
🏥 Regulatory & QM18ISO 13485, MDR 2017/745, FDA, ISO 27001, GDPR, SOC 2, CAPA, risk managementra-qm-team/
🛡️ Compliance OS9Compliance operating system — controls, evidence, audit-readiness workflowscompliance-os/
💼 C-Level Advisory66Full C-suite (CEO/CTO/CFO/CMO/CRO/CPO/COO/CHRO/CISO/GC/CDO/CAIO/CCO/VPE) + founder-mode agents + orchestration + board meetings + culture & collaborationc-level-advisor/
📈 Business & Growth5Customer success, sales engineer, revenue ops, contracts & proposals, BizDev toolkitbusiness-growth/
🏭 Business Operations7Orchestrator + process-mapper, vendor-management, capacity-planner, internal-comms, knowledge-ops, procurement-optimizerbusiness-operations/
🤝 Commercial8Orchestrator + pricing-strategist, deal-desk, partnerships-architect, channel-economics, commercial-policy, rfp-responder, commercial-forecastercommercial/
💰 Finance4Financial analyst (DCF, budgeting, forecasting), SaaS metrics coach, business investment advisorfinance/

Personas

Pre-configured agent identities with curated skill loadouts, workflows, and distinct communication styles. Personas go beyond "use these skills" — they define how an agent thinks, prioritizes, and communicates.

PersonaDomainBest For
Startup CTOEngineering + StrategyArchitecture decisions, tech stack selection, team building, technical due diligence
Growth MarketerMarketing + GrowthContent-led growth, launch strategy, channel optimization, bootstrapped marketing
Solo FounderCross-domainOne-person s

Footnotes

  1. Hermes Agent is BYO-sync tier: the repo ships a pre-generated .hermes/skills/claude-skills/ tree, but you run python scripts/sync-hermes-skills.py once locally to install into ~/.hermes/skills/. Uses the same agentskills.io SKILL.md standard — no format conversion.

  2. Mistral Vibe is also BYO-sync tier: the repo ships a pre-generated .vibe/skills/claude-skills/ tree, run ./scripts/vibe-install.sh once locally to install into ~/.vibe/skills/. Same agentskills.io SKILL.md standard — no format conversion. Docs: https://docs.mistral.ai/mistral-vibe/agents-skills.

View source on GitHub