feature-flow
Skill0 starsChanged 6 days agoMITView on GitHub
Use when the user wants a feature built end to end — \"build the whole feature\", \"feature start to finish\", \"end to end implement\", \"poora feature banao\", \"plan + build + verify\", \"ship this feature properly\". Chains feature-prep-docs → implement-feature → verify → review-slice as one disciplined workflow with checkpoints between steps.
6 other projects use a version of this.
Adopted by
Most recently taken up by
- awahids/noskilltheir own version, first seen Oct 15, 2026
- rcelebrone/DotAgentstheir own version, first seen Oct 14, 2026
- dung204/hono-starter-templatetheir own version, first seen Aug 23, 2026
- sameerhimati/claude-code-kittheir own version, first seen Aug 14, 2026
- mateonunez/skillstheir own version, first seen Jul 21, 2026
- tienenwu/fablestheir own version, first seen Jul 7, 2026
Other versions6 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 6
- rcelebrone/DotAgents★ 15same name
- mateonunez/skills★ 8same name
- tienenwu/fables★ 4same name
- awahids/noskill★ 1same name
- dung204/hono-starter-template★ 1same name
- sameerhimati/claude-code-kit★ 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 repository174 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- ad-ci-readinessSkill
- ad-pre-pushSkill
- accessibilitySkill
- agent-evalSkill
- agent-harness-constructionSkill
- agentic-engineeringSkill
- agent-introspection-debuggingSkill
- agent-sortSkill
- ai-first-engineeringSkill
- ai-regression-testingSkill
- api-connector-builderSkill
- architecture-decision-recordsSkill
- article-writingSkill
- automation-audit-opsSkill
- autonomous-agent-harnessSkill
- autonomous-loopsSkill
- backend-patternsSkill
- benchmarkSkill
- blueprintSkill
- brand-voiceSkill
- browser-qaSkill
- bun-runtimeSkill
- canary-watchSkill
- cavemanSkill
- ckSkill
- claude-devfleetSkill
- click-path-auditSkill
- codebase-onboardingSkill
- code-tourSkill
- coding-standardsSkill
- content-engineSkill
- content-hash-cache-patternSkill
- context-budgetSkill
- continuous-agent-loopSkill
- continuous-learningSkill
- continuous-learning-v2Skill
- cost-aware-llm-pipelineSkill
- councilSkill
- crosspostSkill
- ad-harnessSkill
- ad-state-migrateSkill
- ad-tui-devSkill
- agent-daemon-memorySkill
- big-feature-flowSkill
- bootstrap-daemonSkill
- bug-flowSkill
- engine-upgradeSkill
- gepa-evolve-inlineSkill
- harness-troubleshootSkill
- orchestrate-teamSkill
- release-flowSkill
- session-closeSkill
- skill-authorSkill
- skill-installerSkill
- dashboard-builderSkill
- database-migrationsSkill
- deep-researchSkill
- deployment-patternsSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
1
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 19
If a step's skill is not installed, say so and offer ad skill install <name> (or proceed with the step's intent manually, flagged as …
- Distinctive: line 50
Never skip a checkpoint: if a step ended without one, re-state it before moving on (drift between steps is the #1 flow failure mode).
“Common” is measured: kept by at least 6 in 10 of the 4 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
Feature Flow
A composite workflow: each step invokes an installed skill, ends with a one-line checkpoint, and the next step starts by validating that checkpoint. Steps are ordinary skill invocations — telemetry and GEPA evolution track each sub-skill individually, and this flow body itself is GEPA-evolvable.
If a step's skill is not installed, say so and offer ad skill install <name>
(or proceed with the step's intent manually, flagged as "unskilled").
Steps
Step 1 — Plan
- uses:
feature-prep-docs - entry: a feature request with enough scope to size (ask 2-3 questions if not)
- exit checkpoint: write to the conversation —
FLOW feature-flow 1/4 planned: <doc paths>
Step 2 — Implement
- uses:
implement-feature - entry: Step 1's docs exist and the user approved the plan
- discipline: search existing utilities before writing; one commit per root cause
- exit checkpoint:
FLOW feature-flow 2/4 implemented: <files touched>
Step 3 — Verify
- uses:
verify - entry: implementation compiles / lints clean
- discipline: run the actual app or tests and OBSERVE behavior — type-check passing is not "tested" (constitution rule 1)
- exit checkpoint:
FLOW feature-flow 3/4 verified: <what was observed>
Step 4 — Review
- uses:
review-slice - entry: verification passed
- discipline: findings grouped by root cause + severity; fix approved findings
- exit checkpoint:
FLOW feature-flow 4/4 reviewed: <findings count, fixes applied>
Rules
- Never skip a checkpoint: if a step ended without one, re-state it before moving on (drift between steps is the #1 flow failure mode).
- A failed step does NOT advance — fix or surface to the user.
- Mid-flow scope changes restart at Step 1 (re-plan), not Step 2.
- Record one activeContext.md line at flow completion:
- YYYY-MM-DD: feature-flow completed for <feature> (<commit range>)
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.

