braindump
Skill1 starsChanged 4 months agoMITView on GitHub
The prompt fixer: turns a messy, unstructured brain dump into a clear, well-structured prompt, confirms it, then executes it, so the user never has to prompt engineer by hand. Auto-triggers on any raw, rambling, run-on, or disorganized message, even without the /braindump command: multiple clauses, self-corrections, filler, or unclear phrasing are enough on their own, single-topic or not. When genuinely unsure whether a message qualifies, fire rather than skip; Step 1 already routes to superbraindump if the complexity signals show up once you're reading it. Also triggers on explicit invocation via /braindump, or requests to 'fix this prompt', 'clean this up', or 'prompt engineer this for me'. For messages that clearly bundle multiple unrelated asks, run very long, carry many constraints, span multiple files/repos/systems, or involve high ambiguity or high-stakes/hard-to-reverse work, use the superbraindump skill instead.
7 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- andreaskelm/pm-braintheir own version, first seen Oct 17, 2026
- atomicpapa/claude-obsidian-setuptheir own version, first seen Oct 9, 2026
- SamuelNDCE/claude-super-skill-libraryedited, first seen Aug 1, 2026
- huytieu/COG-second-braintheir own version, first seen Jul 30, 2026
- MohGanji/skillstheir own version, first seen Jul 10, 2026
- david-vrba/claude-power-skillstheir own version, first seen Jun 27, 2026
Other versions7 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- SamuelNDCE/claude-super-skill-library★ 1100% same
Wrote their own version · 6
- huytieu/COG-second-brain★ 1.3ksame name
- andreaskelm/pm-brain★ 235same name
- MohGanji/skills★ 5same name
- broomva/skills★ 4same name
- david-vrba/claude-power-skills★ 4same name
- atomicpapa/claude-obsidian-setup★ 2same name
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.
In this repository25 other files it gives its agents.
- templates/AGENTS.mdAGENTS.md
- braindump-autoSkill
- Capability Claim GroundingSkill
- Derived Figure AuditSkill
- design-review-loopSkill
- Dictation Garble CatcherSkill
- Discord Todo OpsSkill
- Full Account Security AuditSkill
- Large Task Session SplitSkill
- Personal Dashboard StyleSkill
- Pre-Push Secret ScanSkill
- Project Design DocSkill
- Public Repo Leak RetractionSkill
- repo-hygieneSkill
- Repo Index Drift CheckSkill
- Safe Section DeletionSkill
- Session HandoffSkill
- Skill Overlap AuditSkill
- superbraindumpSkill
- ui-change-visual-verifySkill
- Verify, Don't TrustSkill
- Windows Process Restart (Safe)Skill
- Windows Shell Tool SelectionSkill
- Worktree Task-Pack VerificationSkill
- Zombie Process SweepSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 7 edited versions we read keep these.
4
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
- Very specific: line 22
Default to firing here when a message is messy but doesn't obviously need the heavier tier.
- Distinctive: line 34
Read the entire dump and pull out:
- Distinctive: line 73
Preserve the user's intent, not their wording: If they rambled toward X but clearly meant Y by the end, the prompt is Y.
- Distinctive: line 74
No side effects during refinement: No vault writes, no logging, no file changes until execution is approved.
- Distinctive: line 75
Keep the refined prompt in the user's language and terms where they are precise.
“Common” is measured: kept by at least 6 in 10 of the 7 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.
Files
Braindump
The prompt fixer. Skip prompt engineering: dump your thoughts as messy as they come, get back a clean, structured prompt built from them, review it in one glance, then it runs.
What this does
Takes everything after /braindump, however messy, rambling, or disorganized, and turns it into a clean, structured prompt. Shows the refined prompt for approval, then executes it in the same session. The user gets the output quality of a well-written prompt without having to write one.
Choosing between braindump and superbraindump
braindump (this skill) | superbraindump | |
| Use for | A single, contained ask, messy but simple | Multiple bundled asks, large/cross-cutting scope, heavy ambiguity, high stakes |
| Fires on | /braindump, any raw ramble that doesn't clearly need the heavier tier, or "fix this prompt" / "clean this up" | /superbraindump, or a ramble showing the complexity signals in the left column |
| Template | Goal / Context / Constraints / Done when | Same, plus Output format and Edge cases |
Default to firing here when a message is messy but doesn't obviously need the heavier tier. If a dump turns out to match the right column partway through Step 1, stop and switch to superbraindump instead of continuing here.
Usage
/braindump <everything on your mind, as messy as you like>Process
Step 1: Extract the signal
Read the entire dump and pull out:
- Goal: what the user actually wants done (not just what they said first)
- Context: project, files, tools, prior work mentioned in passing
- Constraints: anything phrased as "but", "don't", "except", "it has to", "I hate when"
- Success criteria: what "done" or "good" looks like, stated or implied
- Ambiguities: anything that could be read two ways
Ignore filler, self-corrections, and tangents unless they change the goal.
Step 2: Rewrite as a structured prompt
Produce a compact prompt block:
**Goal:** <one clear sentence>
**Context:** <relevant project/files/tools>
**Constraints:** <bullet list, only real ones>
**Done when:** <concrete success criteria>Omit any section that has nothing real in it. Do not pad. The refined prompt should be shorter than the dump, not longer.
Step 3: Show it and flag assumptions
Present the refined prompt to the user. Below it, list any assumptions made to fill gaps, e.g.:
Assumed: "the store" refers to the e-commerce store being discussed.
Then ask for a go-ahead: the user replies "go", tweaks the prompt, or corrects an assumption.
Step 4: Execute on approval
When the user approves, execute the refined prompt immediately in the current session as if it were their message. Follow all normal workflows and skills that the refined prompt would trigger. If execution involves committing or pushing to a repo, verify the save actually landed (check git status, confirm the push reached the remote) before reporting it done, instead of assuming the command succeeded.
Rules
- One clarifying question max, and only if execution is genuinely impossible without the answer. Otherwise make a reasonable assumption and flag it in Step 3.
- Never execute before approval. Step 3 is a hard gate.
- Preserve the user's intent, not their wording. If they rambled toward X but clearly meant Y by the end, the prompt is Y.
- No side effects during refinement. No vault writes, no logging, no file changes until execution is approved.
- Keep the refined prompt in the user's language and terms where they are precise; replace vague terms with concrete ones only when the dump makes the meaning clear.
Example
Dump:
ok so like the product pages are kinda slow i think its the images maybe? also owen said something about the reviews widget but idk. anyway main thing is speed, google is gonna tank us, oh and dont touch the checkout we just fixed it
Refined prompt:
Goal: Diagnose and fix product page load speed on the store. Context: Images are the suspected cause; a reviews widget was also flagged (secondhand, unverified). Constraints: Do not modify anything in the checkout flow. Done when: Product pages measurably load faster (before/after numbers shown).
Assumed: "the store" refers to the store being discussed. The reviews widget is investigate-only unless it turns out to be the actual bottleneck.
See also
superbraindump: the complex/high-stakes tier. See the comparison table above for which one fires when.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

