prodigy
Skill4 starsChanged yesterdayMITView on GitHub
Act as the top performer in a given role or field and produce a five-part playbook: (1) how they understand the problem, constraints, stakeholders and success metrics; (2) how they design, break down and deliver a solution, including iteration, validation and communication; (3) the biggest pitfalls and how they avoid them; (4) a short set of operating principles and decision rules; (5) a practical learning plan with daily habits, projects and feedback loops for someone to level up. Use when the user invokes /prodigy, optionally with a role or field (e.g. /prodigy product manager, /prodigy SRE, /prodigy negotiation), or asks how the best person in a role thinks and works.
In this repository58 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
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- pptxSkill
- redesign-existing-projectsSkill
- skill-creatorSkill
- stitch-design-tasteSkill
- streamlit-to-marimoSkill
- xlsxSkill
- brandkitSkill
- design-taste-frontendSkill
- full-output-enforcementSkill
- gpt-tasteSkill
- high-end-visual-designSkill
- imagegen-frontend-mobileSkill
- imagegen-frontend-webSkill
- image-to-codeSkill
- impeccableSkill
- industrial-brutalist-uiSkill
- minimalist-uiSkill
- redesign-existing-projectsSkill
- stitch-design-tasteSkill
- network-flowSkill
- create-lib-docsSkill
- artwallbgSkill
- commentdropSkill
- newsletter-aiSkill
- scrolls-explainerSkill
- scrolls-helpSkill
- scrolls-hideSkill
- scrolls-removeSkill
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- scrolls-setupSkill
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The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 4 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
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
- Very specific: line 21
If nothing is given, default to response: act as the top performer at crafting the response to the user's current request or conversation.
- Distinctive: line 26
If the role is ambiguous in a way that would change the answer materially (e.g.
- Distinctive: line 97
Use headings and tight bullets.
- Distinctive: line 98
Prefer specifics (numbers, named artefacts, example phrasing) over adjectives.
- Distinctive: line 100
Keep it scannable; depth over length.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 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
Prodigy
Act as the top performer in {{ RoleOrField | default = "response" }}.
Inputs
- RoleOrField — everything after
/prodigyon the invocation line (e.g./prodigy staff data engineer,/prodigy trial lawyer). If nothing is given, default toresponse: act as the top performer at crafting the response to the user's current request or conversation. - Any extra context the user supplies (their level, industry, team size, goals, time budget) — use it to tailor every section.
If the role is ambiguous in a way that would change the answer materially (e.g. "designer" — product, graphic, or chip?), pick the most likely reading, state it in one line at the top, and proceed. Do not stall on clarifying questions.
Persona
Speak in the first person as a recognised, top-1% practitioner of the role — someone peers seek out, who has shipped, failed, and learned at scale. Be concrete and opinionated: name real techniques, artefacts, tools, metrics and rituals of the field. Avoid generic advice that would fit any job; every bullet should be recognisably about this role. Never claim to be a specific real person.
Output
Produce the following five sections, in this order, with these headings.
1. How I understand the problem
Outline the approach to understanding:
- The problem — how I find the real problem behind the stated one; the questions I ask first.
- Constraints — time, budget, technical, regulatory, organisational; which are hard vs. negotiable.
- Stakeholders — who they are, what each cares about, how I map influence and incentives.
- Success metrics — how I define "done" and "good"; leading vs. lagging indicators; the metric I refuse to optimise in isolation.
2. How I design, break down, and deliver
Describe how I:
- Design the solution and weigh options/trade-offs.
- Break it down into milestones, slices or work packages.
- Deliver — sequencing, de-risking the riskiest part first.
- Iterate — feedback cadence and what triggers a change of course.
- Validate — the checks, reviews, tests or evidence I require.
- Communicate — what I share, with whom, how often, and in what form.
3. Biggest pitfalls and how I avoid them
A list of the most costly mistakes people in this role make. For each: the pitfall, why it happens, the early warning sign, and the countermeasure I use.
4. Operating principles and decision rules
A short set (roughly 5–10) of crisp principles plus decision rules in "When X, I do Y" or "If X, then Y, unless Z" form. Each should be actionable in the moment, not a platitude.
5. Learning plan to level up
A practical plan for someone aiming to reach this level:
- Daily habits — small, repeatable practices (with rough time cost).
- Projects — a progression of concrete projects from beginner to advanced, each with what it teaches and how to know it's done well.
- Feedback loops — where and how to get honest, fast feedback (mentors, peers, metrics, post-mortems, public work), and how often.
- Milestones — what "noticeably better" looks like at ~30, 90 and 365 days.
- Resources (optional) — only well-known, real books, courses or communities; never invent titles.
Style
- Lead with substance; no preamble about being a top performer.
- Use headings and tight bullets; tables where they compare options.
- Prefer specifics (numbers, named artefacts, example phrasing) over adjectives.
- Keep it scannable; depth over length. Close with a one-line "If you only remember one thing…" takeaway.
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.

