Post-implementation self-review — catch issues before /review

MITAuto-check passedDevelopment

Install Reflect

skills CLI
$ npx skills add atelier-fashion/adlc-toolkit --skill reflect -a claude-code

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

GitHub CLI
$ gh skill install atelier-fashion/adlc-toolkit reflect --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/atelier-fashion/adlc-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/reflect .claude/skills/reflect && 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
reflect
GitHub stars
171
Token cost
~999 tokens
SKILL.md length
554 words
Files
1
Skills in repo
16
Repo updated
First seen
Licence
MIT

At a glance

Post-implementation self-review — catch issues before /review

  • Works in 6 steps: Determine Scope → Dispatch the reflector agent → Present the Agent's Report → …
  • Development work in your project
  • SKILL.md covers Ethos, Context, Input and Prerequisites, plus 1 more section
  • Calls git

What it does

Reflect is an agent skill from atelier-fashion/adlc-toolkit. Post-implementation self-review — catch issues before /review

Its SKILL.md is about 1000 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 Development. It works with Git. The repository describes itself as: Shared SDLC skills and templates for Claude Code. The licence is MIT.

When your agent uses it

  • Development work in your project

Example prompts

  • “/reflect”

Workflow steps

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

  1. Determine Scope
  2. Dispatch the reflector agent
  3. Present the Agent's Report
  4. Surface Questions from the Agent
  5. Fix or Defer
  6. Recommend Next Action

What it can do on your machine

Read from SKILL.md and the folder at commit 3a48c27. 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

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    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

Reflect loads about 999 tokens when it runs. Until then it costs about 17 tokens; SKILL.md has 554 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~17
When it runs · the whole SKILL.md, loaded when a task matches
~999

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 atelier-fashion/adlc-toolkit at commit 3a48c27, republished under its MIT licence (© atelier-fashion). 554 words, ~999 tokens.

Download SKILL.mdSave it as .claude/skills/reflect/SKILL.md (or your agent's skills folder).
name
reflect
description
Post-implementation self-review — catch issues before /review
argument-hint
Optional REQ-xxx ID or branch name to scope the reflection

/reflect — Post-Implementation Reflection

You are performing a self-review of recently implemented code to catch issues before the formal /review step. This is a fast, honest assessment of your own work.

Ethos

!test -s .adlc/ETHOS.md && cat .adlc/ETHOS.md || echo No ethos found — run /init to vendor .adlc/ETHOS.md

Context

  • Current branch: !git branch --show-current || echo Not a git repo
  • Committed changes vs main: !git diff-tree --stat -r main HEAD || echo No diff available
  • Uncommitted changes: !git status --short

Context files loaded on demand: .adlc/context/conventions.md and .adlc/context/architecture.md are loaded by Step 1 below — skip the Read if they are already in the current conversation (e.g., when invoked from /proceed, which preloads them at Phase 0).

Input

Scope: $ARGUMENTS

Prerequisites

Before proceeding, verify that .adlc/context/conventions.md exists. If it doesn't, stop and tell the user: "The .adlc/ structure hasn't been initialized. Run /init first to set up conventions."

Instructions

Step 1: Determine Scope
  1. If given a REQ ID, find the associated branch and review its changes
  2. If given a branch name, review all changes on that branch vs main
  3. If no argument, review all changes on the current branch vs main
  4. Get the full diff: git diff main...HEAD
  5. Context files: if .adlc/context/conventions.md and .adlc/context/architecture.md are NOT already in your conversation context, Read them now. Otherwise skip — they're already loaded.
Step 2: Dispatch the reflector agent

Launch the reflector agent via the Agent tool. The agent owns the canonical self-review checklist (Correctness, Convention Compliance, Architecture, Testing, Completeness) and handles reading changed files and cross-referencing lessons learned. Keeping the checklist in the agent ensures a single source of truth that /proceed Phase 5 also uses.

Provide the agent with:

  • The scope (REQ ID, branch name, or "current uncommitted changes")
  • The full diff from Step 1
  • conventions.md and architecture.md content (from Step 1)

Instruct it: "Read all changed files in full, grep .adlc/knowledge/lessons/ for applicable lessons, run your checklist, and report findings + questions. Do not apply fixes."

The agent will return:

  • Issues Found — grouped by severity (Critical / Major / Minor) with file/line, description, suggested fix
  • Clean Areas — 1-2 sentences on what was checked and looked good
  • Questions for the User — ambiguities, design tradeoffs, assumptions, deferred edge cases
Show full SKILL.md (192 more words)Show less
Step 3: Present the Agent's Report

Relay the agent's Issues Found and Clean Areas sections to the user verbatim. Do not re-run the checklist yourself — that would duplicate work and risk drift.

Step 4: Surface Questions from the Agent

The reflector agent returns a "Questions for the User" block covering ambiguous requirements, design tradeoffs, assumptions made, deferred edge cases, and UX/behavioral uncertainties. Relay that block to the user as a numbered list. If the agent returned "No questions — implementation is unambiguous," state that explicitly.

Do not proceed past this step until the user has answered — their responses may change what needs to be fixed.

Step 5: Fix or Defer
  1. If Critical issues are found, fix them immediately
  2. If Major issues are found, ask the user whether to fix now or note for /review
  3. Minor issues can be listed for the user to decide
  4. After fixes, re-run tests to verify nothing broke
Step 6: Recommend Next Action
  • If no issues or only minor ones: "Ready for /review"
  • If fixes were applied: "Fixes applied. Re-run /reflect to verify, or proceed to /review"
  • If blockers remain: "Address these issues before /review"

© atelier-fashion, 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 reflect of atelier-fashion/adlc-toolkit.

Open the folder on GitHubat commit 3a48c27

Compare with similar skills

Reflect 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.

Reflect compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Reflect this skillatelier-fashion/adlc-toolkit171—~999Automated safety check: PassMIT
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Code Review ChecklistshareAI-lab/learn-claude-code78k4 repos~1.1kAutomated safety check: PassMIT
Contributor-First PR MergeHKUDS/OpenHarness16k1 repos~847Automated safety check: PassMIT
Finishing A Development Branchfarm-fe/farm5.6k35 repos~1.8kAutomated safety check: PassMIT
Migrate Internal Package into GhostTryGhost/Ghost56k—~3.8kAutomated safety check: PassMIT

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Works with

Categories

Questions about Reflect

What does Reflect do?

Post-implementation self-review — catch issues before /review. Reflect is an agent skill from atelier-fashion/adlc-toolkit.

When should I use Reflect?

Reflect fits situations like: development work in your project.

How do I install Reflect in Claude Code?

Run `npx skills add atelier-fashion/adlc-toolkit --skill reflect -a claude-code`. Or copy the skill folder (reflect in atelier-fashion/adlc-toolkit) into .claude/skills/reflect in your project. Claude Code loads it when a task matches its description.

How do I install Reflect in Codex?

Run `npx skills add atelier-fashion/adlc-toolkit --skill reflect -a codex`. Or copy the skill folder (reflect in atelier-fashion/adlc-toolkit) into .agents/skills/reflect in your project. Codex loads it when a task matches its description.

Can I use Reflect 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 atelier-fashion/adlc-toolkit --skill reflect -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/reflect, .gemini/skills/reflect, .github/skills/reflect and .opencode/skills/reflect in your project.

What does Reflect need to run?

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

Does Reflect access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Reflect 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 Reflect use?

Reflect 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 Reflect use?

About 999 tokens (SKILL.md is roughly 4k 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 Reflect?

Skills that share tags, products or a category with Reflect: Finishing a Development Branch (obra/superpowers, 297k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Contributor-First PR Merge (HKUDS/OpenHarness, 16k stars) and Finishing A Development Branch (farm-fe/farm, 5.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Reflect?

atelier-fashion (a GitHub organization) maintains it in atelier-fashion/adlc-toolkit, which has 171 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on September 28, 2026.

Source: atelier-fashion/adlc-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.