prompt-architect
Skill114 starsChanged 6 months agoMITView on GitHub
Turn a vague request into a reliable, reusable prompt with role, context, task, constraints, and examples. Use when the user keeps re-rolling outputs to get something usable, or wants a repeatable prompt for a task they do often — in any field.
21 other projects use a version of this.
Adopted by
Most recently taken up by
- sametbrr/prompt-architecttheir own version, first seen Nov 8, 2026
- Tobeiyyy/FLIP-prompt-architecttheir own version, first seen Oct 27, 2026
- aircrushin/promptMindertheir own version, first seen Oct 17, 2026
- TheVeller/claude-skillstheir own version, first seen Oct 13, 2026
- 0King0P/Claude-Skillstheir own version, first seen Oct 13, 2026
- Tgoldi/claude-skillstheir own version, first seen Oct 13, 2026
Other versions21 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 21
- repowise-dev/claude-code-prompts★ 1.2ksame name
- aircrushin/promptMinder★ 117same name
- Svenja-dev/claude-code-skills★ 38same name
- q2wxec/claude-code-skill★ 16same name
- ryankolean/summit-claude-skills★ 4same name
- TheVeller/claude-skills★ 4same name
- dev-ik/ai-design-rules★ 3same name
- Devdannnny/chisel★ 3same name
- ciaransaunders/Skills-Public★ 2same name
- shas9/claude-skills★ 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 repository6 other files it gives its agents.
- connector-setupSkill
- context-brainSkill
- orchestratorSkill
- pipeline-builderSkill
- skill-authorSkill
- work-engineSkill
The file
We split this skill into the rules it gives an agent
7 rules. 0 are common, 7 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 20 edited versions we read keep these.
7
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
- Distinctive: line 14
Ask the user, briefly and conversationally (don't dump all five at once — ask, then react):
- Distinctive: line 19
What does "good" look like?: Ask for one or two real examples, or describe the bar.
- Distinctive: line 22
If the user is unsure on any answer, propose a sensible default for their stated role and confirm.
- Distinctive: line 26
Write the prompt in five labelled parts, in this order:
- Distinctive: line 36
Keep CONSTRAINTS specific — most quality lives there.
- Distinctive: line 40
Run the prompt once on the user's real input.
- Distinctive: line 50
Never invent the user's domain — the interview is not optional.
“Common” is measured: kept by at least 6 in 10 of the 20 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 Architect
Most weak output isn't a weak model — it's a missing part. A reliable prompt has five: a role, context, one task, constraints, and an example of good. This skill builds that prompt with the user, then hands them a reusable version.
It is role-agnostic. Do not assume the user is a marketer, engineer, or anything else. Ask.
Step 1 — Interview (always do this first)
Ask the user, briefly and conversationally (don't dump all five at once — ask, then react):
- Who should the assistant act as? Their job/role and the kind of judgement it implies. ("HR business partner", "brand designer", "support lead".)
- What's the one task? A single deliverable. If they name several, pick one and note the rest for later.
- What's the context? Audience, goal, and any house style or rules. Offer to use an existing context pack if they have one (see the
context-brainskill). - What does "good" look like? Ask for one or two real examples, or describe the bar.
- Constraints? Length, format, tone, and what to avoid.
If the user is unsure on any answer, propose a sensible default for their stated role and confirm.
Step 2 — Assemble
Write the prompt in five labelled parts, in this order:
ROLE: You are a <role> who <relevant judgement>.
CONTEXT: <audience, goal, house rules / link to their context pack>
TASK: <one deliverable, stated precisely>
CONSTRAINTS: <length · format · tone · what to avoid>
EXAMPLES: <1–2 samples of "good", or a tight description of the bar>Keep CONSTRAINTS specific — most quality lives there. Prefer showing an example over describing one ("examples beat adjectives").
Step 3 — Test and tighten
Run the prompt once on the user's real input. Look at the output with them and fix the prompt, not the output: a miss almost always traces to a missing constraint or a weak example. Iterate until one run is shippable.
Step 4 — Hand it back
Give the user the final prompt as a clean block they can save and reuse, plus a one-line note on what to swap each time they run it (the variable input). If they run this task weekly, suggest packaging it with the skill-author skill.
Rules
- Five parts, always. If you're tempted to skip one, that's usually the part that was missing.
- One task per prompt. Multi-part asks become a pipeline (
pipeline-builder). - Never invent the user's domain — the interview is not optional.
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.

