product-builder
Skill0 starsChanged 3 months agoMITView on GitHub
Orchestrate building a feature or software product end-to-end — from architecture decisions through implementation, automated testing, and code review. Use when asked to build a product or feature from idea to working, tested code, e.g. "build this product" or "implement end-to-end". Skip for single-stage requests like writing only tests, only reviewing code, or only drafting an architecture doc.
5 other projects use a version of this.
Adopted by
Most recently taken up by
- zbbsdsb/solo-corn-skillstheir own version, first seen Nov 8, 2026
- jaskirat1616/grok-skillstheir own version, first seen Nov 1, 2026
- srednoff888-art/srednoff-os-for-claudetheir own version, first seen Jul 1, 2026
- kleberbernardo/claude-code-skillstheir own version, first seen Jun 14, 2026
- oleg-koval/product-buildertheir own version, first seen Mar 26, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- jaskirat1616/grok-skills★ 22same name
- zbbsdsb/solo-corn-skills★ 7same name
- kleberbernardo/claude-code-skills★ 2same name
- oleg-koval/product-builder★ 1same name
- srednoff888-art/srednoff-os-for-claude★ 1same name
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.
- architecture-docSkill
- architecture-driven-codingSkill
- code-reviewerSkill
- create-skillSkill
- grillingSkill
- test-case-writerSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
3
Distinctive
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 50
Every fix round routes through exactly two skills, in this order: architecture-driven-coding (apply fixes) → test-case-writer (re-run …
- Distinctive: line 59
Before applying any fix round, classify each suggested fix:
- Distinctive: line 75
No pauses between stages — run straight through
- Distinctive: line 76
Stop only at: architecture gates (setup + deviations), budget exhaustion, user interrupt
“Common” is measured: kept by at least 6 in 10 of the 5 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
Skills Used
This skill orchestrates other skills. Invoke each by name with the Skill tool at the matching stage — do not reimplement their behavior inline.
| Stage | Skill |
| Architecture doc | architecture-doc |
| Implementation | architecture-driven-coding |
| Test writing + execution | test-case-writer |
| Code review | code-reviewer |
| Ambiguity resolution | grilling |
Instructions
- Setup gate — locate the project root (walk up from the current
directory). If
ARCHITECTURE.mdis missing, invokearchitecture-docto create it first. VerifyCONVENTIONS.mdexists (project-local, else~/.config/opencode/CONVENTIONS.md); if neither exists, halt and ask the user before proceeding. - Feature intake — split the request into an ordered list of features.
Order them by dependency (data models before API before UI). If ordering is
genuinely ambiguous after reading
ARCHITECTURE.md, invokegrillingfor the minimal questions; otherwise decide and state your reasoning. Run the pipeline per feature, in order:
- Implement — invoke
architecture-driven-codingwith the feature request - Test — invoke
test-case-writerscoped to the code just written; collect its results report - Fix loop — see rules below
- Review — invoke
code-revieweron the feature's full diff; handle findings per the fix-loop rules
- Implement — invoke
- Final report — output the summary in the format below after all features are processed.
Fix Loop
Every fix round routes through exactly two skills, in this order:
architecture-driven-coding (apply fixes) → test-case-writer (re-run scoped
tests). Never patch code directly yourself.
Budget: 3 rounds for test failures, then 1 round for review findings. Exhausted → mark the feature blocked and continue to the next feature.
Architecture deviation gate
Before applying any fix round, classify each suggested fix:
- Local fixes — logic bugs, missing edge cases, wrong mocks, errors confined within existing modules → apply autonomously
- Architecture-touching fixes — new or renamed modules, changed data flow, boundary/contract changes, tech stack adjustments → STOP. Present to the human: the failing test or review finding, the proposed architectural change, and why it is needed. Proceed only on explicit approval. On rejection, record the feature as blocked-by-architecture-rejection and move on
The same gate applies during implementation if architecture-driven-coding
reports the request cannot be mapped to existing modules.
Autonomy Rules
- No pauses between stages — run straight through
- Stop only at: architecture gates (setup + deviations), budget exhaustion, user interrupt
- Blocked features never block later independent features
Output Format
## Build Report
### [Feature name] — [done | blocked-by-budget | blocked-by-architecture-rejection]
- Files written: [paths]
- Tests added/passed/failed: [n/n/n]
- Review outcome: [clean | issues fixed | open Medium/Low items]
- Architecture deviations: [none | approved: <change> | rejected: <change>]
- Notes: [deviations from plan, leftover risks]Example
Input: "Build our analytics platform: event ingestion first, then dashboards."
- Setup gate — no
ARCHITECTURE.md; invokearchitecture-doc, user confirms stack and modules. - Intake — two features ordered: ingestion, then dashboards (dashboards read what ingestion writes).
- Feature 1: implement via
architecture-driven-coding; test viatest-case-writer; one failure needs a new shared module → deviation gate stops, user approves, fix applied via the coding skill, tests re-run green; review viacode-reviewer, one High issue fixed through the same two-skill route. - Feature 2 runs clean end-to-end.
- Output the build report covering both features.
Out of Scope
- Deployment and git commits unless explicitly requested
- Modifying pre-existing code outside the current feature's modules
- E2E authoring unless explicitly requested
- Changing the behavior of the sub-skills — follow them as written
Does it work?
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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.

