agentleFS
Soe-RehSoe-Reh/soes-skills/skills/build/SKILL.md

build

Skill1 starsChanged 4 days agoMITView on GitHub

Use when an approved spec exists in .plans/ and the user says "build it", "run autonomously", "keep going without asking", or "continue from PROGRESS.md".

163 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use backprop, finances and 9 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.
  • JuliusBrusseeSkill

    backprop

    Bug → spec protocol. When a bug is found or a test fails, trace the cause, decide whether a new §V invariant would catch recurrence, append to §B. This is the one non-obvious thing SDD does that plan-then-execute doesn't. Triggers on test failure, bug report, post-mortem, or explicit user ask.

    Also in 4 projects that use this

  • GerardoRdz96Skill

    finances

    Use when Gera talks about his money — logging an expense ("I spent X on Y"), checking where he stands this pay-period, closing a period, planning debt payoff, onboarding his financial picture, or asking for budgeting/finance opinions. Servy's financial brain. Triggers — "I spent", "log this expense", "where am I this period", "close the period", "how's my budget", "debt plan", "should I pay off", "finances onboard", "/finances".

    Also in 3 projects that use this

  • cpiprintSkill

    favicon

    Generate favicons from a source image

    Also in 3 projects that use this

  • madeehahassanSkill

    Go-Live

    Pre-launch checklist. Use before making any app public, sharing a link externally, or announcing a product launch. Adapts to Claude Code, claude.ai, and Cowork.

    Also in 3 projects that use this

  • JuliusBrusseeSkill

    deepen

    Optional design-improvement pass for when you have spare usage to drain. Finds the shallowest modules in the code the spec touches, researches a deeper design, and proposes refactors that shrink interfaces and hide decisions — behavior held constant, tests green before and after. Proposes §I/§V/§T edits, never silent rewrites. Triggers when the user says "deepen this", "improve the design", "this module feels shallow", "pull complexity down", "use spare budget on the codebase", or invokes /ck:deepen. Leans on the codebase-design skill's deep-module vocabulary when present.

    Also in 3 projects that use this

  • synaptiaiSkill

    gate

    Create a BDSK review_gate artifact. Defines a checkpoint that controls whether generated output may proceed toward acceptance. Use when defining quality, security, or scope gates for execution plans.

    Also in 5 projects that use this

The file

We split this skill into the rules it gives an agent

4 rules. 0 are common, 2 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 149 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    If PROGRESS.md exists, trust it over the chat.

    line 13
  2. Very specific:

    Create PROGRESS.md. Each spec phase becomes a part and its Done when line becomes the check:

    line 15
  3. Distinctive:

    If blocked, change something (context, smaller part, stronger model).

    line 51
  4. Distinctive:

    Commit each done part on a branch (repo's commit rules) and log the hash.

    line 73

“Common” is measured: kept by at least 6 in 10 of the 149 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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Build

Build an approved spec part by part. Loops burn the user's usage limit, so re-run only when a check fails.

1. Start or resume

  1. Find the spec (.plans/*-spec.md). Not there or not approved: stop and run spec.
  2. If PROGRESS.md exists, trust it over the chat. Done parts stay done. Resume at Next.
  3. Otherwise run the existing tests once as a baseline, so old failures are not blamed on new work.
  4. Create PROGRESS.md. Each spec phase becomes a part and its Done when line becomes the check:
# PROGRESS - spec: .plans/<name>-spec.md
Baseline: <tests/tsc result before any change>
Next: <one concrete action>

## Parts
- [ ] 1. <phase> | owns: <files> | needs: <part or owner action> | check: <command> | risk: low/high

## Rulings
- <decision> | why | cost if wrong

## Owner only (blocks only the part listed)
- <action> | part N

## Not checked
- <item>
  1. Fix traps in the plan before any code:
    • Shared file: run those parts in order.
    • A part needs a later one: reorder, write it under needs.
    • A vague or manual check ("instant"): swap in a number or a script.
    • Spec contradicts itself: take the safe default, log a ruling, add an owner confirm.
    • Oversized phase: split it.
    • High risk: auth, data access, money, public exposure, migrations.
  2. If the work has to match or beat something (a site, an app), study it before designing. Capture it with Playwright screenshots, pull its design tokens with skillui if you have it, and write what you learned to research/. Sites that block bots: use a Wayback snapshot or ask the user to save the page. Never get around a bot wall.

2. Build each part

  • One subagent per part. At most 2 at once, only on disjoint files and when the time saved beats the merge step.
  • Model by risk: strongest for high risk, mid-tier for clear parts, cheapest for mechanical edits.
  • Give it only: spec path and part, files it owns and must not touch, what earlier parts changed, the check.
  • It spawns no agents and returns 5 lines: status, files, check output, deviations, unverified.
  • If blocked, change something (context, smaller part, stronger model). Never resend the same prompt.

3. Verify by running it

Re-run the check yourself. Never trust pasted output.

WorkProof
Logic, API, CLIRun the tests or command, read the output
Anything a user seesSmoke test the running app: click the real path, screenshot, read the console
Access rulesLog in as a second user, confirm they see nothing
ConfigChange the value, show the output change

4. Review only high-risk parts

Low risk: done when the check passes. High risk: one blind critic on the spec part and diff, bar 8/10.

  • 8+: done, log the score.
  • Below 8: one fix round on concrete defects, re-run the check. No second review.
  • Still failing after that: plateau. Log it under Not checked, block dependents, move on.
  • Style notes are logged, never fixed.

Commit each done part on a branch (repo's commit rules) and log the hash.

5. Keep going

Decide, log a ruling, continue. Ask only for:

  • logins, API keys, billing, payments
  • anything public: deploy, post, email, push to main
  • anything destructive: deleting data, migrating real data
  • a ruling on who can see user data

Block only the part that needs it. Update Next after every step.

6. Hand over

  1. One end-to-end smoke test of the whole app. No final critic.
  2. Give the user a link or command to try it live. Their try is the last gate before shipping.
  3. Report: what works and how to see it, real scores, what failed, what waits on the owner, what was not checked.

7. Learn

Save up to 3 lessons where they belong, not in the report:

  • Project fact or command: CLAUDE.md
  • User preference: memory
  • A step this skill got wrong: an edit to this skill

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.