A disciplined loop for implementing, fixing, refactoring, or unblocking a single feature or slice in an existing codebase.

Apache-2.0Auto-check passedDevelopment

Install Slicewise

skills CLI
$ npx skills add ccplugins/awesome-claude-code-plugins --skill slicewise -a claude-code

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

GitHub CLI
$ gh skill install ccplugins/awesome-claude-code-plugins slicewise --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/ccplugins/awesome-claude-code-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/slicewise/skills/slicewise .claude/skills/slicewise && 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
slicewise
GitHub stars
967
Token cost
~2.4k tokens
SKILL.md length
1,227 words
Files
1
Skills in repo
68
Repo updated
First seen
Licence
Apache-2.0

At a glance

A disciplined loop for implementing, fixing, refactoring, or unblocking a single feature or slice in an existing codebase.

  • Works in 7 steps: Read first, report drift (before any code) → Plan file-disjoint commit units → Implement → test gate (per unit) → …
  • The user says things like implement this feature
  • SKILL.md covers Principles (non-negotiable), Checklist (make each a todo), Configuration and Phase 1 — Read first, report…, plus 8 more sections
  • Calls git and gh

What it does

Slicewise is an agent skill from ccplugins/awesome-claude-code-plugins. A disciplined loop for implementing, fixing, refactoring, or unblocking a single feature or slice in an existing codebase. Reads the relevant docs/specs first and reports drift before coding, splits work into small file-disjoint commit units, and for each unit runs a build/test gate then dispatches two independent reviewers in parallel and reconciles their findings before handing off a commit you run yourself (it never auto-commits). Use when the user says things like "implement this feature", "add this API"…

Its SKILL.md is about 2.4k 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, covering Refactoring. The repository describes itself as: Awesome Claude Code plugins — a curated list of slash commands, subagents, MCP servers, and hooks for Claude Code. The licence is Apache-2.0.

When your agent uses it

  • The user says things like implement this feature
  • Finish this slice
  • This PR/merge is stuck

Example prompts

  • “implement this feature”
  • “add this API”
  • “fix this bug”
  • “/slicewise”

Workflow steps

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

  1. Read first, report drift (before any code)
  2. Plan file-disjoint commit units
  3. Implement → test gate (per unit)
  4. Dual review → reconcile (per unit, always)
  5. Re-verify → commit handoff
  6. Doc sync + drift sweep
  7. PR / merge unblocking (only if you hit it)

What it can do on your machine

Read from SKILL.md and the folder at commit 5bd4f16. 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
    • gh

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

  • Network

    Links to these hosts (documentation or services it may open):

    • 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

Slicewise loads about 2.4k tokens when it runs. Until then it costs about 190 tokens; SKILL.md has 1,227 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~190
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k

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 ccplugins/awesome-claude-code-plugins at commit 5bd4f16, republished under its Apache-2.0 licence (© ccplugins). 1,227 words, ~2,380 tokens.

Download SKILL.mdSave it as .claude/skills/slicewise/SKILL.md (or your agent's skills folder).
name
slicewise
description
A disciplined loop for implementing, fixing, refactoring, or unblocking a single feature or slice in an existing codebase. Reads the relevant docs/specs first and reports drift before coding, splits work into small file-disjoint commit units, and for each unit runs a build/test gate then dispatches two independent reviewers in parallel and reconciles their findings before handing off a commit you run yourself (it never auto-commits). Use when the user says things like "implement this feature", "add this API", "fix this bug", "refactor this", "finish this slice", or "this PR/merge is stuck". Not for one-line typo fixes (answer directly), and not for the initial mass-scaffold of an entire API layer (use a fan-out authoring harness instead).

slicewise

The everyday discipline for building one slice at a time in an existing codebase. You write the code yourself, but every commit unit is objectively verified — a full test gate plus two independent reviewers reconciled against each other — and the human, not the agent, decides what lands.

한국어 안내는 README.ko.md를 참고하세요.

Principles (non-negotiable)

  1. No auto-commit. You never run git commit. You hand the user exact, file-disjoint git blocks and they run them, on a fresh branch for the current issue. (Only commit yourself if the user explicitly says "commit it" / "do it".)
  2. Always dual review. Every commit unit is reviewed by two independent reviewers in parallel, then reconciled. No risk-based gating — the small unit that "looks trivial" is where the subtle bug hides. If only one reviewer is available, run it and warn that this invariant is relaxed.
  3. Tests are the ground truth. A build/compile floor for every unit; the full suite green before anything lands. Risky changes get real integration tests, not mocks or fakes.
  4. No scope creep. Only the current issue. Anything outside the plan — extra features, new dependencies, edits to unrelated files — you ask first.

Checklist (make each a todo)

  1. Read first, report drift.
  2. Plan file-disjoint commit units.
  3. Implement → test gate (per unit).
  4. Dual review → reconcile (per unit, always).
  5. Re-verify → commit handoff.
  6. Doc sync + drift sweep.
  7. PR / merge unblocking (only if you hit it).
  • (cross-cutting) Log reusable troubleshooting the moment you hit it.

Configuration

Read .slicewise.yml (or .json) at the repo root if present; otherwise auto-detect the toolchain from the ecosystem. See docs/configuration.md for the schema and the detect table. The keys you care about: build, test, integration, lint, docs (globs to read in Phase 1), reviewers (the roster for Phase 4), troubleshooting_log, commit_convention. When a key is absent, detect it (package.json→npm, Cargo.toml→cargo, go.mod→go test, pom.xml/build.gradle→mvn/gradle, pyproject.toml→pytest, Makefile→make) and state what you detected so the user can correct you.

Phase 1 — Read first, report drift (before any code)

  • Read the configured docs globs (default: docs/**, **/*.md, plus any OpenAPI/schema/ADR files), the related code, and any design notes for this slice. Understand the contract before touching it.
  • Drift detection is a first-class deliverable. If two docs disagree, or a doc contradicts the code (a spec that no longer matches the schema, a data model that drifted from the migration), you report it and get a decision before writing code. Silently "fixing" it the wrong way is the classic trap.
  • State scope in one line: what you will build, and what is explicitly out of scope.

Phase 2 — Plan file-disjoint commit units

  • Split the work into small units whose file sets do not overlap (e.g. infra/port · domain logic · docs). If one file is touched by two units, merge them into one unit.
  • For genuinely hard logic (auth/social login, pairing, IoT, RAG, aggregation, external integrations), lay down the skeleton with // TODO(impl) markers and fill it in deliberately — don't fake it.

Phase 3 — Implement → test gate (per unit)

  • Write it yourself, matching the surrounding style. Cross-context references go by ID; external systems go through a port/adapter, not a direct call.
  • Run the build/compile floor (build command). It must pass — that's the floor, not the goal.
  • For risky changes, add real integration tests, not mocks: raw SQL / complex queries, JSONB or document mapping, concurrency and locking, migrations, money, auth/authorization, anything with a data-loss or ownership-boundary failure mode. Assert hard — exercise boundary values, ownership checks, time/ordering — so a false green can't sneak through.
  • Before the unit is final, run the full test suite and confirm it is green (failures = 0).

Phase 4 — Dual review → reconcile (per unit, always)

Dispatch the reviewer roster in parallel, in one message. All reviewers are read-only (they report; they never edit). The zero-config default roster is the bundled code-reviewer agent run twice with different lenses:

  • Lens A — correctness, security, concurrency / data-safety.
  • Lens B — simplicity / DRY, project conventions, test adequacy.

For cross-model diversity, set reviewers: ["codex", "code-reviewer"] in config to use one Codex reviewer (via the codex plugin, if installed) plus one Claude reviewer. If a configured reviewer isn't available, degrade to single and warn that the always-dual-review invariant is relaxed.

Shared prompt template (same for every reviewer, only the lens differs):

  • Target: the git diff of the working tree + the list of changed/new file paths + a couple of reference files showing the pattern to match.
  • Design context: state the decisions that are already settled, so reviewers check consistency, bugs, and security within that design instead of re-litigating the architecture.
  • Output contract: prioritized findings — 🔴 must-fix / 🟡 should-fix / 🟢 nit — each with file:line and a concrete fix. Explicit instruction: "If it's sound, say it's sound. Do not fabricate issues."
  • Scrutiny points: data loss, JSONB/serialization mapping, IDOR / authorization, concurrency TOCTOU, migration safety, test adequacy, doc↔code consistency.

Reconcile (this step is the whole point). Compare the two reports; don't just concatenate them. See docs/reconcile-rubric.md for the full decision table. In short:

  • 🔴 → verify it's real, then apply, then prove the fix with a new test. If the two reviewers disagree, resolve by evidence, not by vote.
  • Over-engineering / speculative asks → reject with a stated reason (name the rejection as explicitly as the adoption). "Deterministic key, so a per-segment HEAD check is unnecessary — rejected."
  • Every adopted fix is reflected in code and proven by a test that would fail without it.
Show full SKILL.md (355 more words)Show less

Phase 5 — Re-verify → commit handoff

  • After applying reconciled fixes, run the test suite again — green.
  • Do not commit. Present numbered, file-disjoint blocks:
    git add <exact paths for this unit>
    git commit -m "<conventional subject>" -m "<body>"
    Add a trailer (sign-off, issue ref, co-author) only if the project already uses one. The user runs the blocks. If they say "do it", then you run them.

Phase 6 — Doc sync + drift sweep

  • If behavior or a contract changed, update the docs it touched (endpoint schemas, error cases, status, ER diagrams, counts/summaries).
  • Sweep the mirrors: when you change one field/column, grep for its old name across every doc and generated artifact (overview docs, exported schema JSON, SVG diagrams) so no straggler survives. Mark generated artifacts (SVGs, etc.) for regeneration. Historical changelog lines are history — leave them.

Phase 7 — PR / merge unblocking (only if you hit it)

  • Classify the blocker: gh pr view <n> --json mergeable,mergeStateStatus,reviewDecision → CONFLICTING (conflicts) / UNSTABLE or BLOCKED (checks) / review.
  • For conflicts: merge origin/<base> in, resolve only the conflicts (union / consistency), confirm zero markers, and get the whole merge tree green before handing off the push.
  • For count/summary conflicts, recompute from the underlying groups and reconcile to the true number.

Cross-cutting — Troubleshooting log

When you hit a real troubleshooting trap (build, test, runtime, or a design pitfall), append it to the configured troubleshooting_log (default TROUBLESHOOTING.md). Create it if missing; append to the bottom if it exists — never a fresh file each time. Format each entry as: a one-line title (date + feature/branch), then Cause / Resulting problem / Fix / Alternatives considered. Record only reusable traps, not one-off typos — this is an accumulating asset so the next person doesn't hit the same wall.

Tooling notes

  • Reviewers see uncommitted work via git diff (assume a clean baseline before the unit).
  • Codex unavailable → single Claude reviewer + a stated note that the full-review invariant is broken.
  • build/test/lint and gh run via Bash. Prefer the repo's own scripts over ad-hoc commands.
  • If a decision won't show up in a later code scan (a design fork, a rejection rationale, a schema switch), write it down where the project keeps such notes so it isn't lost.

© ccplugins, Apache-2.0. 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 plugins/slicewise/skills/slicewise of ccplugins/awesome-claude-code-plugins.

Open the folder on GitHubat commit 5bd4f16

Compare with similar skills

Slicewise 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.

Slicewise compared with similar skills
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Slicewise this skillccplugins/awesome-claude-code-plugins967—~2.4kAutomated safety check: PassApache-2.0
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Component Refactoringlangflow-ai/langflow156k—~3.5kAutomated safety check: PassMIT
Migrate Core Code to Submodulestinyhumansai/openhuman41k—~2.6kAutomated safety check: PassGPL-3.0
ast-grep Structural Searchcode-yeongyu/oh-my-openagent70k—~3.3kAutomated safety check: PassMIT
Systematic Code Refactoringluongnv89/claude-howto42k—~3kAutomated safety check: PassMIT

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Categories

Questions about Slicewise

What does Slicewise do?

A disciplined loop for implementing, fixing, refactoring, or unblocking a single feature or slice in an existing codebase. Slicewise is an agent skill from ccplugins/awesome-claude-code-plugins. A disciplined loop for implementing, fixing, refactoring, or unblocking a single feature or slice in an existing codebase.

When should I use Slicewise?

Slicewise fits situations like: the user says things like implement this feature; finish this slice; this PR/merge is stuck.

How do I install Slicewise in Claude Code?

Run `npx skills add ccplugins/awesome-claude-code-plugins --skill slicewise -a claude-code`. Or copy the skill folder (plugins/slicewise/skills/slicewise in ccplugins/awesome-claude-code-plugins) into .claude/skills/slicewise in your project. Claude Code loads it when a task matches its description.

How do I install Slicewise in Codex?

Run `npx skills add ccplugins/awesome-claude-code-plugins --skill slicewise -a codex`. Or copy the skill folder (plugins/slicewise/skills/slicewise in ccplugins/awesome-claude-code-plugins) into .agents/skills/slicewise in your project. Codex loads it when a task matches its description.

Can I use Slicewise 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 ccplugins/awesome-claude-code-plugins --skill slicewise -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/slicewise, .gemini/skills/slicewise, .github/skills/slicewise and .opencode/skills/slicewise in your project.

What does Slicewise need to run?

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

Does Slicewise access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Slicewise 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 Slicewise use?

Slicewise is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Slicewise use?

About 2.4k tokens (SKILL.md is roughly 9.5k 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 Slicewise?

Skills that share tags, products or a category with Slicewise: Guidelines (akash-network/node, 1.1k stars), Component Refactoring (langflow-ai/langflow, 156k stars), Migrate Core Code to Submodules (tinyhumansai/openhuman, 41k stars) and ast-grep Structural Search (code-yeongyu/oh-my-openagent, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Slicewise?

ccplugins (a GitHub organization) maintains it in ccplugins/awesome-claude-code-plugins, which has 967 GitHub stars. The repository holds 68 skills in this directory. The repository was last updated on August 12, 2026.

Source: ccplugins/awesome-claude-code-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.