prompt-master
Skill0 starsChanged 2 months agoMITView on GitHub
Restructure messy, rambling, or stream-of-consciousness requests into a clean task spec BEFORE executing them, so nothing buried in the dump gets lost. Use this skill whenever the user's message is a brain dump: long unstructured paragraphs, voice-dictated text, multiple tangled tasks, requests with contradictions, "sorry this is messy but", walls of context with the actual ask buried in the middle, or copy-pasted notes ending in "can you do this". Do NOT use for short clear requests, follow-ups within an ongoing task, or casual conversation; restructuring a clean request is pure friction.
23 other projects use a version of this.
Adopted by
Most recently taken up by
- aditya-vermax/skillsword for word, first seen Nov 8, 2026
- henriquetell/claude-skillstheir own version, first seen Nov 6, 2026
- AgnesAI-Labs/agnet-skills-cntheir own version, first seen Nov 1, 2026
- FrankLord27/ai-lordkittheir own version, first seen Nov 1, 2026
- pavel-molyanov/molyanov-ai-devtheir own version, first seen Oct 25, 2026
- nidhinjs/prompt-mastertheir own version, first seen Oct 21, 2026
Used with
Projects with it also use fact-checker, graphify and 2 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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Verify citations and factual claims in long-form content. Checks URLs for accessibility and accuracy, validates quotes, analyzes source credibility, and distinguishes facts from opinions. Use when fact-checking article drafts, validating citations, or reviewing claims before publication.
Also in 3 projects that use this
IgorGanapolskySkillgraphify
Query the local Graphify-Labs AST knowledge graph for ThumbGate architecture questions (what connects X to Y, explain a symbol, PreToolUse/gates/adapters). Slash: /graphify.
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Tone enforcement patterns for external-facing community responses
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Compact the current conversation into a handoff document for another agent to pick up.
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Other versions23 projects use a version of this.
Word for word · 2
- aditya-vermax/skills★ 1100% same
- kshyam/opencode-and-claude-skills★ 0100% same
Edited · 0
None found.
Wrote their own version · 21
- nidhinjs/prompt-master★ 15ksame name
- huangserva/skill-prompt-generator★ 1.5ksame name
- pavel-molyanov/molyanov-ai-dev★ 299same name
- ttmouse/skills★ 34same name
- taipt1504/agent-skills★ 4same name
- FrankLord27/ai-lordkit★ 2same name
- henriquetell/claude-skills★ 2same name
- Kaidera-AI/skills★ 2same name
- mik2win/foureyes★ 2same name
- stepanenkoviktor0110-boop/ai-dev-methodology★ 2same name
11 more not listed
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 repository4 other files it gives its agents.
- grill-meSkill
- how-toSkill
- skill-auditSkill
- write-a-skillSkill
The file
We split this skill into the rules it gives an agent
10 rules. 0 are common, 10 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 17 edited versions we read keep these.
10
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- could be automatic: a setting could enforce it
- Distinctive: line 32
When a message qualifies as a brain dump, do not start executing it directly.
- Distinctive: line 39
Read the entire message before deciding what the task is.
- Distinctive: line 50
Multiple tasks: if the dump contains several distinct asks, list them separately.
- Distinctive: line 53
Nothing gets lost: Every substantive detail in the dump must land in a bucket or be explicitly parked ("noted, not needed for this task").
- Distinctive: line 64
Prefer the later statement, because dumps are thinking-in-progress and later usually supersedes earlier.
- Distinctive: line 68
Never split the difference into a mushy middle.
- Distinctive: line 91
Confirm mode: Stop and wait for a yes before executing when any of these hold: the dump contains contradictions material to the outcome, …
- Distinctive: line 109
Multi-task dumps: always use confirm mode for the task list itself: number the tasks, propose an order (dependencies first), and ask …
- Distinctive: line 115
Run the task from the structured version, not the original prose.
- Distinctive: line 120
If the structured version would make a good reusable prompt (the user does this kind of task repeatedly), offer once, briefly, to save it …
“Common” is measured: kept by at least 6 in 10 of the 17 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
Prompt Master
Brain dumps have an information problem in reverse: everything needed is usually IN there, but disorganized. And disorganization causes specific, predictable failures when a model runs the task directly: it anchors on the first task mentioned instead of the important one, drops constraints buried mid-paragraph, averages contradictions instead of resolving them, and answers the literal last sentence instead of the actual goal. This skill fixes the structure before execution, so the execution inherits none of those failures.
The second payoff: the user sees their own request organized, which catches misunderstandings in five seconds instead of after a finished (wrong) deliverable.
Core rule
When a message qualifies as a brain dump, do not start executing it directly. First extract its structure, then run the task from the structured version. The restructuring is fast; redoing a deliverable is not.
Step 1: Mine the dump
Read the entire message before deciding what the task is. The real goal is often in the middle or implied by the complaints, not in the opening or closing sentence. Extract into these buckets:
- Goal: what outcome the user actually wants (not the first verb they used)
- Deliverable: the concrete artifact or answer that satisfies the goal, including format if stated or clearly implied
- Context that matters: facts from the dump the task depends on
- Constraints: deadlines, tone, length, tech, budget, things to avoid; these are the items most often buried and most often dropped
- Multiple tasks: if the dump contains several distinct asks, list them separately; never silently merge or silently drop one
Nothing gets lost. Every substantive detail in the dump must land in a bucket or be explicitly parked ("noted, not needed for this task"). The parked list is what proves to the user, and to you, that reading was complete. Losing a detail the user bothered to type is this skill's cardinal failure.
Step 2: Resolve, don't average
Brain dumps contradict themselves ("keep it short... oh and also cover X, Y, Z in detail"). When they do:
- Prefer the later statement, because dumps are thinking-in-progress and later usually supersedes earlier.
- But surface the resolution explicitly as an interpreted decision, so the user can veto it in one word.
- Never split the difference into a mushy middle; a medium-length half-detailed answer satisfies neither instruction.
For genuine gaps (information needed, present nowhere in the dump), ask at most 2-3 questions, and only for true blockers. This skill's bias is opposite to an intake interview: the information is usually already in the dump, so mine before you ask. An avoidable question about something the user already wrote is worse than a wrong guess, because it proves the dump wasn't read.
Step 3: Show the structure, sized to the stakes
Light mode (default). For everyday tasks, show a compact readback and proceed immediately in the same response:
Taking from this: [goal] as [deliverable], constraints: [list].
Assuming [interpreted decisions]. Parked: [items]. Proceeding.Then execute. The user can course-correct, but you haven't made them wait for a confirmation round on something routine.
Confirm mode. Stop and wait for a yes before executing when any of these hold: the dump contains contradictions material to the outcome, there are multiple tasks and the order or selection is unclear, the deliverable would take significant effort to redo, or two readings of the goal diverge badly. Present the full structure:
## What I'm reading in this
Goal:
Deliverable:
Key context:
Constraints:
Interpreted decisions: [each contradiction and how it was resolved]
Open questions: [only true blockers, max 3]
Parked: [details noted but unused]
Task order: [if multiple tasks]Multi-task dumps always use confirm mode for the task list itself: number the tasks, propose an order (dependencies first), and ask whether to run all or start with one.
Step 4: Execute from the structure
Run the task from the structured version, not the original prose. If mid-task something in the dump turns out to matter that was parked, unpark it and say so. When delivering, do not re-explain the restructuring; the deliverable is the point.
If the structured version would make a good reusable prompt (the user does this kind of task repeatedly), offer once, briefly, to save it as a template. Do not push.
Calibration
The skill fails in both directions and the annoying failure is worse:
- Under-trigger: running a genuinely tangled dump directly, dropping a buried constraint. Bad outcome, invisible cause.
- Over-trigger: ceremonially restructuring "fix the typo in line 3". Visible, irritating, teaches the user to distrust the skill.
Rough threshold: restructure when the message has 2+ of: over ~150 words with no formatting, multiple distinct asks, a contradiction, the ask buried away from the start/end, apologetic framing ("this is a mess"), or dictation artifacts. One clear ask with lots of clean context is NOT a brain dump; that's just a well-fed prompt.
Example
Dump: "ok so we have this client meeting thursday and sarah wants a deck but honestly i think a one pager is better, the client is an HVAC company, family owned, they were upset last quarter about response times which we fixed, avg ticket time went from 9h to 2h, also need to mention the new pricing but do NOT bring up the contract renewal yet legal said to wait, oh and can you make it not corporate sounding they hate that, anyway something i can send sarah tonight"
Readback (light mode, one contradiction interpreted):
Taking from this: a client-ready one-pager (your call over Sarah's deck preference, flagging that as a decision for you two) for the family-owned HVAC client, to send Sarah tonight. Leading with the response-time win (9h to 2h), introducing new pricing. Constraints: no mention of contract renewal (legal), non-corporate tone. Parked: last quarter's friction as background, not to be dwelled on. Proceeding with the one-pager.
Note what the structure caught that direct execution typically misses: the deck-vs-one-pager conflict (surfaced, not averaged), the legal constraint buried mid-ramble, and the real deadline (tonight for Sarah, not Thursday for the client).
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