braindump-auto
Skill1 starsChanged 3 months agoMITView on GitHub
The prompt fixer, auto-accept variant: turns a messy brain dump into a clean, structured prompt and executes it immediately, no approval step. Same extraction and rewrite as braindump, but skips the confirmation gate entirely. Triggers on explicit invocation via /braindump-auto, or phrases like 'braindump auto', 'braindump autoexit', 'braindump and just run it', 'auto braindump', 'skip the confirmation and braindump this'. For a single-topic ramble where you want to review the cleaned-up prompt before it runs, use the braindump skill instead. For complex/high-stakes dumps, prefer superbraindump (which still requires approval) over skipping the gate.
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
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
- Distinctive: line 67
Preserve intent, not wording: If the dump rambled toward X but clearly meant Y by the end, the prompt is Y.
- Very specific: line 68
Downstream gated actions still gate: If the refined prompt would trigger a send/purchase/delete/publish or anything else requiring explicit …
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Braindump Auto
The prompt fixer, no-wait tier. Same as
braindump: messy input in, clean prompt out. The only difference is it doesn't stop to ask "go?" — it extracts, rewrites, and runs.
What this does
Identical contract to braindump through Step 2: dump in, structured prompt out. Where braindump stops and waits for you to approve, tweak, or correct an assumption, braindump-auto states its assumptions in one line and executes immediately. Use it when you trust the extraction and just want the result, not a round trip.
Choosing between braindump and braindump-auto
braindump | braindump-auto (this skill) | |
| Use for | You want to see the cleaned-up prompt before it runs | You trust the fix, just want it run |
| Approval gate | Yes, hard stop until you say "go" or correct something | None, executes right after refining |
| Fires on | /braindump, a raw single-topic ramble, "fix this prompt" | /braindump-auto, "braindump auto", "braindump autoexit", "braindump and just run it" |
| Risk | Lower, you catch bad assumptions before anything happens | Higher, a wrong assumption runs before you see it. Don't use for hard-to-reverse or high-stakes asks |
For messages that bundle multiple asks, run long, or touch high-stakes/hard-to-reverse work, use superbraindump instead, and let it keep its approval gate. Auto-accept is for low-stakes, single-topic asks, not complex ones.
Usage
/braindump-auto <everything on your mind, as messy as you like>Process
Step 1: Extract the signal
Same as braindump Step 1: pull out goal, context, constraints, success criteria, ambiguities. Ignore filler and tangents unless they change the goal.
Step 2: Rewrite as a structured prompt
Same template as braindump Step 2:
**Goal:** <one clear sentence>
**Context:** <relevant project/files/tools>
**Constraints:** <bullet list, only real ones>
**Done when:** <concrete success criteria>Omit empty sections. Shorter than the dump, not longer.
Step 3: State it and go, no gate
Show the refined prompt and any assumptions made to fill gaps, in the same breath as executing, not as a separate turn waiting on a reply:
Goal: ... Context: ... Assumed: "the store" refers to the e-commerce store being discussed.
Running this now.
Then immediately execute the refined prompt in the current session, as if it were the user's own message. Follow all normal workflows and skills the refined prompt would trigger, including this project's own safety rules (explicit-permission and prohibited-action categories still apply; auto-accept only removes the confirm-the-prompt step, it does not pre-authorize sends, purchases, deletions, or other gated actions the refined prompt might trigger). If execution involves committing or pushing to a repo, verify the save actually landed before reporting it done.
Rules
- No approval gate. This is the entire difference from
braindump. Everything else about extraction and rewriting is identical. - One clarifying question max, and only if execution is genuinely impossible without the answer. Otherwise assume and state it, then proceed.
- Still surface assumptions. Skipping the wait isn't skipping transparency. Always list what was assumed, inline, before running.
- Preserve intent, not wording. If the dump rambled toward X but clearly meant Y by the end, the prompt is Y.
- Downstream gated actions still gate. If the refined prompt would trigger a send/purchase/delete/publish or anything else requiring explicit permission under this project's rules, that permission check still happens. Auto-accept applies to the braindump confirmation step only.
- If mid-extraction the dump turns out to be complex, bundled, or high-stakes, stop and say so rather than auto-running a risky guess, suggest
superbraindumpinstead.
Example
Dump:
braindump auto: rename the getUserData function to fetchUserProfile across the repo, it's a bad name and keeps confusing me
Output (stated, then executed immediately):
Goal: Rename
getUserDatatofetchUserProfileacross the repo. Context: Current name is confusing/misleading. Done when: All references renamed, no broken imports.Assumed: a call-graph-aware rename (not blind find-and-replace) since this touches multiple call sites.
Running this now.
See also
braindump — the same tool with a confirmation step before it runs.
superbraindump — the complex/high-stakes tier; keep its approval gate even when using auto-accept habits elsewhere.
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- SamuelNDCE/ai-workbench★ 1100% same
Wrote their own version · 0
None found.
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 repository280 other files it gives its agents.
- agent-architecture-auditSkill
- agent-evalSkill
- agent-harness-constructionSkill
- agentic-engineeringSkill
- agentic-osSkill
- agent-introspection-debuggingSkill
- agent-payment-x402Skill
- agent-sortSkill
- ai-first-engineeringSkill
- ai-regression-testingSkill
- autonomous-agent-harnessSkill
- autonomous-loopsSkill
- braindumpSkill
- continuous-agent-loopSkill
- continuous-learning-v2Skill
- data-scraper-agentSkill
- enterprise-agent-opsSkill
- eval-harnessSkill
- foundation-models-on-deviceSkill
- ito-data-atlas-agentSkill
- llm-trading-agent-securitySkill
- mcp-server-patternsSkill
- mle-workflowSkill
- recsys-pipeline-architectSkill
- regex-vs-llm-structured-textSkill
- scholar-evaluationSkill
- superbraindumpSkill
- team-agent-orchestrationSkill
- carrier-relationship-managementSkill
- customer-billing-opsSkill
- energy-procurementSkill
- finance-billing-opsSkill
- inventory-demand-planningSkill
- logistics-exception-managementSkill
- prediction-market-oracle-researchSkill
- prediction-market-risk-reviewSkill
- production-schedulingSkill
- quality-nonconformanceSkill
- returns-reverse-logisticsSkill
- architecture-decision-recordsSkill
- codebase-onboardingSkill
- codehealth-mcpSkill
- code-tourSkill
- hexagonal-architectureSkill
- repo-scanSkill
- article-writingSkill
- brand-voiceSkill
- content-engineSkill
- crosspostSkill
- investor-materialsSkill
- investor-outreachSkill
- lead-intelligenceSkill
- marketing-campaignSkill
- market-researchSkill
- seoSkill
- social-publisherSkill
- x-apiSkill
- bun-runtimeSkill
- cisco-ios-patternsSkill
- database-migrationsSkill
- The first 60 shown.
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.

