blueprint
Skill0 starsChanged 2 months agoMITView on GitHub
Create an optimal implementation plan. Use when the user explicitly asks to plan a substantial engineering change before implementation; decompose the target, research genuine uncertainties with hard termination, and produce a plan at the ceiling of what is knowable before writing code.
66 other projects use a version of this.
Adopted by
Most recently taken up by
- Rojios/everything-claude-codetheir own version, first seen Nov 8, 2026
- sanjaibalajee/skillstheir own version, first seen Nov 8, 2026
- DevvGwardo/blueprint-skilltheir own version, first seen Nov 8, 2026
- dimsedra/skillstheir own version, first seen Nov 8, 2026
- smilewilson1999/blueprinttheir own version, first seen Nov 8, 2026
- pankaj-mahaur/Agent-Daemontheir own version, first seen Nov 6, 2026
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Other versions66 projects use a version of this.
Word for word · 0
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Edited · 0
None found.
Wrote their own version · 66
- WordPress/agent-skills★ 2.3ksame name
- hyperlink-academy/leaflet★ 527same name
- astronomer/agents★ 459same name
- loulanyue/awesome-claude-notes★ 272same name
- Joonghyun-Lee-Frieren/oh-my-antigravity★ 214same name
- Joonghyun-Lee-Frieren/oh-my-gemini-cli★ 214same name
- team-attention/hoyeon★ 173same name
- Fmarzochi/EGC★ 61same name
- manusco/resonance★ 38same name
- smilewilson1999/blueprint★ 27same name
56 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.
The file
Show its rules and text
We split this skill into the rules it gives an agent
13 rules. 0 are common, 8 are distinctive, and 5 are very specific to this project.
0
Common
Most of the 65 edited versions we read keep these.
8
Distinctive
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
If the user hasn't already stated what they want to build, ask: "What are we building?"
- Very specific: line 33
If /research wasn't run, say so and do a fast structural scan before planning.
- Distinctive: line 35
Before planning, read the durable context directly — don't rely on it already being in your window:
- Distinctive: line 58
After decomposing, audit each work item against one question: "Can I specify exactly how to build this right now?"
- Distinctive: line 64
Only mark an item for research if the uncertainty would materially change the plan.
- Distinctive: line 74
A deliverable: not raw search results. Not a list of options with pros and cons.
- Distinctive: line 83
If 3 targeted searches don't yield a clear answer, the sub-agent reports: "Could not determine." The planner works around it — flags the …
- Distinctive: line 111
After each work item, note whether it was: specified from knowledge, inferred from codebase exploration, or researched (cite the finding).
- Very specific: line 134
If domain terms need sharpening or architectural decisions need ADRs → /grill
- Very specific: line 135
If the plan has high-fidelity unknowns (feel, flow, interaction) → /prototype for the uncertain items
- Distinctive: line 136
If the plan is complete and unambiguous → "Ready to implement.
- Very specific: line 139
When re-running /blueprint after /grill: do not regenerate the plan from scratch.
- Very specific: line 140
If multiple plans exist in Context/Plans/, pick the active one — matching the current branch, task, or work item.
“Common” is measured: kept by at least 6 in 10 of the 65 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
Produce the best implementation plan attainable before writing a single line of code. The plan must be concrete enough that an agent could execute it without asking follow-up questions. Where you lack knowledge, research — but only exactly enough to resolve the gap.
1. Establish the target
If the user hasn't already stated what they want to build, ask: "What are we building?"
Listen for:
- The feature or change, in their words
- Constraints (must / must not)
- What "done" means — the acceptance criteria
- North star — what are they optimizing for?
One question at a time. Stop asking when you have enough to plan.
2. Ground in what you already know
You ran /research (or equivalent exploration). Reference it explicitly:
- Architecture: what modules exist, what boundaries constrain the change
- Domain model: entities, relationships, glossary terms — use the project's language, not yours
- Patterns: how this codebase names things, structures files, handles errors, writes tests
- ADRs: decisions you must not contradict
If /research wasn't run, say so and do a fast structural scan before planning. Don't plan blind.
Before planning, read the durable context directly — don't rely on it already being in your window:
ls <project-root>/Context/Research/*.md <project-root>/Context/Glossary.md <project-root>/Context/ADR/*.md 2>/dev/nullRead all Context/Research/*.md files (start with Research.md — the comprehensive overview — then any topic files), Context/Glossary.md (canonical terms — use them in the plan's language), and every Context/ADR/*.md (constraints you must not contradict). If any is missing, note it as a gap; don't plan against assumptions.
3. Decompose
Break the target into ordered work items. For each:
- What — the change, specific enough to act on. Not "add auth" — "create
src/auth/middleware.tswith JWT verification, apply to/api/*routes." - Why — which requirement or constraint this satisfies
- Depends on — what must exist first
- Risk — what could go wrong, and how you'd know
Order items so each one builds on the last. If the order doesn't matter, say so.
4. Identify genuine uncertainties
After decomposing, audit each work item against one question: "Can I specify exactly how to build this right now?"
- Yes → specify it. You have the knowledge.
- No, but the codebase can tell me → read the relevant files. One round of exploration, then specify.
- No, and I need external knowledge → mark it for research.
Only mark an item for research if the uncertainty would materially change the plan. "Which exact library version?" when any recent version works is not a research-worthy uncertainty. "Which library even solves this problem?" is.
5. Research (only for genuine uncertainties)
For every item marked for research, spawn one sub-agent per question. Each sub-agent gets:
- The exact question, phrased as a constraint. Not "tell me about websocket libraries" — "Find a websocket library that: handles reconnection automatically, works with Express middleware, is under 10KB gzipped."
- A hard termination condition: the moment the answer is found, stop. Do not read further. Do not explore alternatives "just in case." Do not read changelogs, comparison tables, or community discussions beyond what's needed to confirm the answer fits the constraint.
- A deliverable: not raw search results. Not a list of options with pros and cons. A single creative solution — the library, pattern, or approach — with a one-sentence justification.
Research anti-patterns
- Reading comparison blog posts when the first library found already satisfies all constraints
- Following "see also" links after the answer is found
- Collecting alternatives "to give the user options" — that's what
/grillis for - Researching things you could infer from the codebase or your training data
Research failure
If 3 targeted searches don't yield a clear answer, the sub-agent reports: "Could not determine." The planner works around it — flags the gap in the plan and proposes a fallback or spike.
6. Produce the plan
Synthesize everything into a written plan. Save it to Context/Plans/<Feature-Name>.md using PascalCase for the filename. Create Context/Plans/ if it doesn't exist.
Structure:
## Goal
<one sentence>
## Constraints
- <every constraint, verbatim from user or codebase>
## Work items
1. **<title>**
- What: <specific change>
- Why: <requirement it satisfies>
- Depends on: <prerequisite item or "none">
- Risk: <what breaks + how you'll know>
- [Researched] <what was learned and the creative solution>
2. ...After each work item, note whether it was: specified from knowledge, inferred from codebase exploration, or researched (cite the finding).
This file is the single source of truth for the plan. Other commands will read and update it. Keep it current.
7. Validate
Before presenting, check:
- Does this plan contradict any ADR?
- Does it violate any pattern the codebase consistently follows?
- Are there gaps — work items where "how" is still fuzzy?
- Does the order hold — can item N actually be done before item N+1?
Flag anything that fails. Don't paper over it.
Workflow
Before this command: /research — blueprint builds on codebase understanding.
After this command:
- If domain terms need sharpening or architectural decisions need ADRs →
/grill - If the plan has high-fidelity unknowns (feel, flow, interaction) →
/prototypefor the uncertain items - If the plan is complete and unambiguous → "Ready to implement. Start with item 1?"
/blueprint precedes /grill: produce the plan, then grill sharpens it. If /grill materially changes scope, terminology, or risk surface, re-run /blueprint so the plan file reflects the sharpened design.
When re-running /blueprint after /grill: do not regenerate the plan from scratch. Read the existing plan file first. Preserve any sections /grill added — "Out of Scope," glossary-aligned work item language, and ADR cross-references — and update only what the grilling changed.
If multiple plans exist in Context/Plans/, pick the active one — matching the current branch, task, or work item. State which plan you're operating on before proceeding.
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