Agent skill

Feature Dev Loop

by agentara in agentara/skills

End-to-end orchestration for non-trivial software feature development.

MITAuto-check passedAgent Workflows

Install Feature Dev Loop

skills CLI
$ npx skills add agentara/skills --skill feature-dev-loop -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install agentara/skills feature-dev-loop --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/agentara/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/productivity/feature-dev-loop .claude/skills/feature-dev-loop && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
feature-dev-loop
GitHub stars
602
Token cost
~3.9k tokens
SKILL.md length
1,812 words
Files
1
Skills in repo
20
Repo updated
First seen
Licence
MIT

At a glance

End-to-end orchestration for non-trivial software feature development.

  • Works in 6 steps: Requirements Baseline → Plan Breakdown → Multi-perspective Plan Review Loop → …
  • The user asks to implement a PR-sized feature
  • SKILL.md covers Operating Defaults, Dependency Gate, Feedback Severity and Run Directory, plus 9 more sections
  • Calls git; reaches github.com

What it does

Feature Dev Loop is an agent skill from agentara/skills. End-to-end orchestration for non-trivial software feature development. Use this skill whenever the user asks to implement a PR-sized feature, break down a plan, have subagents review a plan, run a plan-review-development-acceptance loop, coordinate multiple review perspectives, produce an acceptance report, or generate an HTML PR summary. Prefer this skill for multi-step code changes even if the user only says "build this feature" and the task is not a tiny one-file edit.

Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Subagents. The repository describes itself as: Original and practical skills for AI builders. The licence is MIT.

When your agent uses it

  • The user asks to implement a PR-sized feature
  • Break down a plan
  • Have subagents review a plan
  • Run a plan-review-development-acceptance loop

Example prompts

  • “build this feature”
  • “/feature-dev-loop”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Requirements Baseline
  2. Plan Breakdown
  3. Multi-perspective Plan Review Loop
  4. Safe Serial Implementation
  5. Dynamic Acceptance Matrix
  6. HTML PR Summary

What it can do on your machine

Read from SKILL.md and the folder at commit 950e1bf. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Feature Dev Loop loads about 3.9k tokens when it runs. Until then it costs about 123 tokens; SKILL.md has 1,812 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~123
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from agentara/skills at commit 950e1bf, republished under its MIT licence (© agentara). 1,812 words, ~3,898 tokens.

Download SKILL.mdSave it as .claude/skills/feature-dev-loop/SKILL.md (or your agent's skills folder).
name
feature-dev-loop
description
End-to-end orchestration for non-trivial software feature development. Use this skill whenever the user asks to implement a PR-sized feature, break down a plan, have subagents review a plan, run a plan-review-development-acceptance loop, coordinate multiple review perspectives, produce an acceptance report, or generate an HTML PR summary. Prefer this skill for multi-step code changes even if the user only says "build this feature" and the task is not a tiny one-file edit.

Feature Dev Loop

Orchestrate a full software feature loop by composing local development skills instead of rewriting them: requirements baseline, plan breakdown, multi-perspective plan review, safe serial implementation, dynamic acceptance review, and an HTML PR summary.

This is a controller skill. It decides when to move between stages, how feedback is classified, when loops exit, what gets written to disk, and when to involve the user. It should call or follow existing local skills for the lower-level work when they are available, especially:

  • superpowers:writing-plans for implementation plans
  • superpowers:subagent-driven-development for task execution with implementer/reviewer agents
  • superpowers:test-driven-development for feature and bugfix implementation
  • superpowers:requesting-code-review for code review dispatch
  • superpowers:verification-before-completion before claiming completion
  • Frontend/browser verification skills when UI behavior changes

Operating Defaults

  • Use this for non-trivial feature work, multi-step changes, PR-sized tasks, or explicit requests for plan review, subagent review, acceptance testing, code review, or PR summary generation.
  • For tiny edits, use a lightweight version unless the user explicitly asks for the full loop.
  • Default to safe serial implementation. Only run implementation workers in parallel when file/module ownership is disjoint and shared contracts are already fixed.
  • Default to human gates at the end of plan review and before final release. If the user asks for full auto mode, proceed automatically when exit criteria are met and record all assumptions.
  • Save process artifacts in the target repo under docs/dev-loop-runs/YYYY-MM-DD-feature-slug/.
  • Be git-aware, but do not commit, push, or open PRs unless the user explicitly asks.
  • Never loop forever. Each review loop has a default limit of 3 rounds.
  • Respect the active tool policy for subagents. If the user explicitly asked for subagents, delegation, plan review by agents, the full feature-dev-loop, or this skill by name, proceed with subagent dispatch when available. If not, ask before the first subagent dispatch or perform the review inline and record the limitation.

Dependency Gate

Before starting a full loop, check whether the local prerequisite skills are available in the active session. This skill depends on Superpowers-style development workflows; it should not silently degrade into an ad-hoc process when those skills are missing.

Check dependencies from the active skill list when it is available. If the active skill list is unavailable, inspect likely local skill/plugin locations such as .agents/skills/superpowers, .codex/superpowers/skills, or the harness plugin list. Do not assume a dependency exists just because this skill mentions it.

Required skills

These are required for the intended workflow:

  • superpowers:writing-plans - implementation plan breakdown
  • superpowers:subagent-driven-development - serial task execution with implementer/reviewer agents
  • superpowers:test-driven-development - red/green/refactor discipline for behavior changes
  • superpowers:requesting-code-review - structured code review dispatch
  • superpowers:verification-before-completion - evidence before completion claims

These are not always required, but should be used when relevant:

  • superpowers:brainstorming - when the request is still rough or product/design intent is unclear
  • superpowers:systematic-debugging - when implementation or tests expose a bug
  • superpowers:receiving-code-review - when applying reviewer feedback
  • superpowers:finishing-a-development-branch - when the user wants merge/PR/branch cleanup guidance
  • superpowers:using-git-worktrees - when the user wants isolated branch/worktree execution
  • Frontend/browser automation skills - when UI behavior must be visually verified
Missing dependency behavior

If any required skill is missing:

  1. Stop before creating the full run directory or starting implementation.
  2. Tell the user exactly which prerequisite skills are missing.
  3. Recommend installing Superpowers, because these required skills are provided by the Superpowers workflow.
  4. If a plugin-install tool for Superpowers is available in the current harness, use it or ask the user to approve it according to the active tool policy. Otherwise provide the appropriate install hint for the harness when known:
    • Codex App: open Plugins in the sidebar, find Superpowers in the Coding section, click +, and follow the prompts.
    • Codex CLI: run /plugins, search for superpowers, and select Install Plugin.
    • Claude Code: run /plugin install superpowers@claude-plugins-official, or register the Superpowers marketplace with /plugin marketplace add obra/superpowers-marketplace and then run /plugin install superpowers@superpowers-marketplace.
  5. After the user installs it, restart the dependency check before proceeding.

If installation is not possible in the current harness, offer a reduced inline mode only after making the limitation explicit. Reduced inline mode must still create the run artifacts and record that subagent/Superpowers dependencies were unavailable.

Reference for installation and workflow names: https://github.com/obra/superpowers.

Feedback Severity

All reviewer comments must use these severities:

  • BLOCKER: Must be resolved before the loop can exit.
  • IMPORTANT: Should be resolved before exit. The controller may adjudicate and close it only with written rationale.
  • QUESTION: Must be answered or converted into a concrete change before exit.
  • NIT: Non-blocking improvement. Record it, but do not let it block progress.

A phase may exit only when there are no unresolved BLOCKER, IMPORTANT, or QUESTION items. Remaining NIT items become follow-ups.

Run Directory

At the start of a run:

  1. Locate the repo root with git rev-parse --show-toplevel when available.
  2. Check git status -sb.
  3. Record base_sha, current branch, dirty-state summary, user request, and mode.
  4. Create:
text
docs/dev-loop-runs/YYYY-MM-DD-feature-slug/
  00-requirements.md
  01-plan.md
  02-plan-review-rounds.md
  03-implementation-log.md
  04-acceptance-report.md
  05-pr-summary.html
  artifacts/
    screenshots/
    test-outputs/

If the working tree is dirty, do not revert anything. Decide whether existing changes are related to the requested task. If ambiguous and risky, ask the user before editing.

Phase 1: Requirements Baseline

Create 00-requirements.md before planning.

Use this structure:

markdown
# Requirements Baseline

## Goal
## Non-goals
## User-visible Behavior
## Acceptance Criteria
## Constraints
## Assumptions
## Open Questions
## Source Request
## Repo Context

Ask the user only for open questions that materially affect architecture, data model, security, user experience, compatibility, or test strategy. Infer ordinary implementation details from repo conventions and record them as assumptions.

Do not enter plan breakdown while blocking open questions remain.

Phase 2: Plan Breakdown

Explore the codebase before writing the plan. Prefer rg and existing project docs/tests. Let the repo teach the implementation style.

Create 01-plan.md. When available, follow superpowers:writing-plans.

The plan must include:

  • Exact goal and architecture summary
  • Files/modules expected to change
  • Task order and dependencies
  • Test strategy and exact verification commands
  • Ownership boundaries for any worker subagents
  • Acceptance criteria mapped back to 00-requirements.md
  • Known risks and assumptions

Tasks should be small enough to implement and review independently. If a shared contract is needed, put it before dependent tasks.

Phase 3: Multi-perspective Plan Review Loop

Dispatch multiple plan-review subagents from different perspectives when subagents are available and permitted. Give each reviewer precise context: the requirements file, plan file, relevant repo conventions, and the requested output schema. Do not hand them the whole conversation history.

Default reviewer perspectives:

  • Architecture reviewer: decomposition, boundaries, dependency order, extensibility, integration risk
  • Test strategy reviewer: acceptance criteria, regression coverage, failure paths, verification commands
  • Product/spec reviewer: user-visible behavior, requirement gaps, non-goals, ambiguous semantics
  • Risk/complexity reviewer: hidden complexity, migration risk, rollout concerns, maintainability traps

Each reviewer must return:

markdown
## Verdict
APPROVED | COMMENTS

## Comments
- id:
  severity: BLOCKER | IMPORTANT | QUESTION | NIT
  area:
  target:
  comment:
  required_change:

## Approval Conditions

Aggregate all feedback into 02-plan-review-rounds.md.

For each round:

  1. Fix the plan for all valid BLOCKER, IMPORTANT, and QUESTION feedback.
  2. If rejecting a comment, write the adjudication and rationale.
  3. Re-run the reviewers on the whole revised plan, not just the diff.
  4. Stop after 3 rounds and escalate unresolved blocking disagreement to the user with a concrete recommendation.

Plan review exits when all reviewers approve or only NIT items remain.

Show full SKILL.md (686 more words)Show less
Plan Gate

Unless the user requested auto mode, show a concise plan summary and ask for approval before implementation:

  • Goal
  • Major files/modules
  • Task sequence
  • Main risks
  • Verification strategy

Phase 4: Safe Serial Implementation

Implement one task at a time in plan order. Use superpowers:subagent-driven-development when the plan is well-specified and worker subagents are appropriate. Use superpowers:test-driven-development for behavior changes.

For each task:

  1. Assign clear file/module ownership.
  2. Tell workers they are not alone in the codebase, must not revert others' edits, and must adapt to existing changes.
  3. Prefer TDD: write/verify failing tests before implementation where practical.
  4. Run task-specific verification commands.
  5. Record changes, commands, results, and concerns in 03-implementation-log.md.
  6. Run task-level spec compliance and code-quality review when the task has meaningful behavior or risk.
  7. Resolve review findings using the shared severity rules.

Default to serial implementation. Parallel implementation is allowed only when:

  • Tasks touch disjoint files/modules
  • Shared contracts are already committed or otherwise stable
  • Each worker has explicit ownership
  • The controller can safely integrate and review the outputs

Do not create checkpoint commits unless the user explicitly requested commits or PR mode.

Phase 5: Dynamic Acceptance Matrix

After implementation, choose reviewers based on the actual change surface.

Always run:

  • Requirements acceptance reviewer: verifies the delivered behavior against 00-requirements.md and 01-plan.md
  • Test coverage reviewer: checks tests, missing cases, regression risk, and whether verification commands are credible
  • Code quality reviewer: checks correctness, maintainability, integration, edge cases, and hidden regressions

Run conditionally:

  • Frontend UX reviewer: for UI, interaction, layout, accessibility, or visual changes; require browser/screenshot evidence
  • Security reviewer: for auth, permissions, secrets, uploads, external input, payments, or data exposure
  • Performance reviewer: for queries, rendering loops, concurrency, caching, batching, or large data paths
  • Docs/migration reviewer: for configuration, migration, API behavior, setup instructions, or user-facing behavior changes
  • Compatibility reviewer: for public APIs, schemas, serialized data, plugins, or integration contracts

Each acceptance reviewer receives:

  • Requirements baseline
  • Final plan
  • Implementation log
  • base_sha and current HEAD or working-tree diff
  • Relevant test outputs and screenshots
  • Their specific review mandate

Each reviewer returns:

markdown
## Verdict
PASS | PASS_WITH_NOTES | FAIL

## Scope Checked
## Evidence
## Findings
- id:
  severity: BLOCKER | IMPORTANT | MINOR
  target:
  finding:
  suggested_fix:
  evidence:

## Residual Risks

Aggregate results into 04-acceptance-report.md:

markdown
# Acceptance Report

## Verdict
PASS | PASS_WITH_NOTES | FAIL

## Scope Checked
## Reviewers Run
## Tests Run
## Requirement Coverage
## Findings
## Fixes Applied
## Residual Risks
## Follow-ups

Acceptance exits only when:

  • No BLOCKER remains
  • No unresolved IMPORTANT remains
  • Verification commands pass, or unavailable commands are clearly explained
  • The controller can honestly assign PASS or PASS_WITH_NOTES

If acceptance fails, fix the issues and re-run the relevant reviewers. Stop after 3 rounds and escalate with a blocker report.

Phase 6: HTML PR Summary

Generate 05-pr-summary.html as a self-contained, summary-first HTML report. It should help a PR reviewer understand the change quickly, while preserving expandable audit detail.

The first screen should answer:

  • What problem this PR solves
  • What changed
  • User-visible behavior changes
  • Validation and acceptance verdict
  • Residual risks and follow-ups

Include expandable detail sections for:

  • Requirements baseline
  • Plan review summary
  • Implementation log
  • Acceptance matrix
  • Tests run and key outputs
  • Code review findings
  • Screenshots or artifacts, when applicable
  • Main diff or changed-file summary

Use plain, readable HTML and CSS with no external network dependencies. Link local artifacts with relative paths where possible.

Git Policy

  • Always inspect and record current branch and base_sha.
  • Never run destructive git commands.
  • Never revert user changes unless explicitly requested.
  • Do not commit, push, or open a PR unless the user explicitly asks.
  • If commits are requested, use non-interactive git commands and keep commits scoped to completed, verified units.
  • If no commits exist, generate summaries from git diff and git status.

User Escalation Rules

Ask the user only when:

  • Requirements ambiguity changes architecture, UX, data model, security, compatibility, or acceptance criteria
  • Existing workspace changes make safe editing ambiguous
  • Review loops hit the 3-round limit with unresolved blocking disagreement
  • The requested behavior conflicts with repo constraints or safety requirements

When asking, ask one concrete question at a time and provide a recommended answer.

Completion Checklist

Before final response:

  • 00-requirements.md exists
  • 01-plan.md exists and passed plan review or has documented adjudications
  • 03-implementation-log.md records tasks, changed files, and verification evidence
  • 04-acceptance-report.md has a clear verdict
  • 05-pr-summary.html exists
  • Required tests or checks were run, or the reason they could not run is recorded
  • No unresolved BLOCKER, IMPORTANT, or QUESTION remains

Then summarize the outcome concisely for the user, including the report path and verification status.

© agentara, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/productivity/feature-dev-loop of agentara/skills.

Open the folder on GitHubat commit 950e1bf

Compare with similar skills

Feature Dev Loop next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Feature Dev Loop compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Feature Dev Loop this skillagentara/skills602—~3.9kAutomated safety check: PassMIT
Claude Code Agent Developmentanthropics/claude-plugins-official38k7 repos~2.8kAutomated safety check: PassApache-2.0
Subagent Driven DevelopmentAsvarox/allkaraoke26137 repos~1.2kAutomated safety check: PassNone
Dispatching Parallel Agentsultralisp/ultralisp25840 repos~1.5kAutomated safety check: PassNone
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence
Task Observerrebelytics/one-skill-to-rule-them-all3.2k1 repos~12kAutomated safety check: PassCC-BY-4.0

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Categories

Questions about Feature Dev Loop

What does Feature Dev Loop do?

End-to-end orchestration for non-trivial software feature development. Feature Dev Loop is an agent skill from agentara/skills. End-to-end orchestration for non-trivial software feature development.

When should I use Feature Dev Loop?

Feature Dev Loop fits situations like: the user asks to implement a PR-sized feature; break down a plan; have subagents review a plan; run a plan-review-development-acceptance loop.

How do I install Feature Dev Loop in Claude Code?

Run `npx skills add agentara/skills --skill feature-dev-loop -a claude-code`. Or copy the skill folder (skills/productivity/feature-dev-loop in agentara/skills) into .claude/skills/feature-dev-loop in your project. Claude Code loads it when a task matches its description.

How do I install Feature Dev Loop in Codex?

Run `npx skills add agentara/skills --skill feature-dev-loop -a codex`. Or copy the skill folder (skills/productivity/feature-dev-loop in agentara/skills) into .agents/skills/feature-dev-loop in your project. Codex loads it when a task matches its description.

Can I use Feature Dev Loop in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentara/skills --skill feature-dev-loop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/feature-dev-loop, .gemini/skills/feature-dev-loop, .github/skills/feature-dev-loop and .opencode/skills/feature-dev-loop in your project.

What does Feature Dev Loop need to run?

Going by SKILL.md and its folder, Feature Dev Loop needs the command-line tools its instructions call (git).

Does Feature Dev Loop access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Feature Dev Loop safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Feature Dev Loop use?

Feature Dev Loop is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Feature Dev Loop use?

About 3.9k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Feature Dev Loop?

Skills that share tags, products or a category with Feature Dev Loop: Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars), Subagent Driven Development (Asvarox/allkaraoke, 261 stars), Dispatching Parallel Agents (ultralisp/ultralisp, 258 stars) and Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Feature Dev Loop?

agentara (a GitHub organization) maintains it in agentara/skills, which has 602 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on September 29, 2026.

Source: agentara/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.