agentify-project
Make a project ready for AI agentic engineering by converging it toward a canonical agent-neutral structure — a lean AGENTS.md index with progressive…
Assist a human reviewing a pull request or branch locally — diff a source branch against its target (auto-detected or from a PR link) and return concise, human-voice review comments with file and line locations. Read-only, never posts.
$ npx -y skills add eai-org/agent-toolkit --skill review-code-assistant --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/review-code-assistantContext preview
The summary Claude sees to decide when to auto-load this skill.
Assist a human reviewing a pull request or branch locally — diff a source branch against its target (auto-detected or from a PR link) and return concise, human-voice review comments with file and line locations. Read-only, never posts.
name: review-code-assistant description: Assist a human reviewing a pull request or branch locally — diff a source branch against its target (auto-detected or from a PR link) and return concise, human-voice review comments with file and line locations. Read-only, never posts. disable-model-invocation: true type: flow license: MIT metadata: version: "1.11"
Assist a human's local code-review pass: read the diff, understand the intent, surface the real issues. You suggest candidate comments; the human decides what to post. Single-pass and lightweight. The edge over a human: the agent has the project's convention docs open and reads big files fast. Output is local text only.
Accept input flexibly; a PR link is optional:
1. **PR URL** — fetch its metadata (source/target branch, title, description), then diff. 2. **One branch** ("review branch xxxx") — diff it against the auto-detected target. 3. **Two branches** ("review xxxx against yyyy") — explicit source and target. 4. **Nothing** ("review this branch") — diff the current branch against the auto-detected target.
(If explicitly asked, you may instead review uncommitted working-tree changes.)
**Diff base:** always a three-dot merge-base diff, `git diff <target-ref>...<source-ref>`, so it matches exactly what the platform shows as the PR with no noise from commits that landed on target after the fork. Fall back to two-dot only when there is no common ancestor. No checkout is needed to produce the diff.
**Branch freshness:** always `git fetch` first — never `git pull`: the diff needs no checkout or working-tree update. Then diff each branch's freshest ref, stating which you used: the remote-tracking ref when the branch is on a remote and the local ref isn't ahead of it; the local ref when the branch exists only locally or carries unpushed commits (never silently review a stale pushed state); for a fork PR's source, absent from `origin`, the fork remote or the platform's PR ref (e.g. `git fetch origin pull/<N>/head` on GitHub). If a fetch fails or a ref can't be found, say so and ask how to proceed rather than review stale or wrong refs.
**Target auto-detection** (when not supplied and not from a PR link), in order: 1. `git symbolic-ref refs/remotes/origin/HEAD` — the remote default branch. 2. Else check which usual candidates exist (`main`, `master`, `develop`/`development`); exactly one match wins. 3. Multiple matches or any ambiguity → ask, never guess.
A PR link always overrides auto-detection (its target comes from the PR metadata; PRs are not always against the main branch). Always state which target was chosen so the user can correct it.
When a URL is given, identify the platform from its host and fetch through whatever is connected (a GitHub tool, an Azure DevOps tool, etc.) — use the intent, not a fixed tool. If no matching tool is available, or no link was given, degrade gracefully to a local-diff-only review, or ask.
PR may have superseded or already fixed it.
hypotheses until the diff or code confirms them.
to spot claims to verify.
Lenses a human applies, not a checklist to fill: report only what you find; a lens that finds nothing produces no output.
general bad practice. Relevant, not "these two lines look vaguely similar".
missing, and a title that oversells or hides a behaviour change.
that no longer applies is itself a finding.
Before reviewing, load the project's own convention docs (CLAUDE.md/AGENTS.md and any relevant codestyle/contributing docs), then run them as a checklist, not as background reading, against every changed file and the submission itself (title, description, linked issues). A clear violation is a first-class, citable comment and the skill's edge over a human, easiest to miss in new test files (test-structure conventions) and on new class members (visibility and naming).
The core rule. A comment may exist only when it points to concrete evidence of one of:
1. **The code is demonstrably wrong** — you can name the actual failure (this input throws, this condition is inverted, this loses the value). 2. **It breaks a documented project rule** — you can cite the convention (a doc, or an established pattern visible in the surrounding code). 3. **It is a concrete, behavior-preserving simplification** — needless indirection or duplication you can collapse with certainty, naming the exact redundancy and the smaller form. (E.g. a non-exported const in the class's own file that only aliases one class field is collapsible, or the same expression repeated across a template, collapsed into one named derivation; an exported or separate-file const is fine, it may be reused elsewhere.)
If you cannot name the evidence — the exact bug, rule, or redundancy — do not comment. Hedge phrases that signal a guess with no evidence ("there might be", "this co
A collection of generic agentic tools for common engineering tasks, designed to work with any AI agent on any kind of software project.
Make a project ready for AI agentic engineering by converging it toward a canonical agent-neutral structure — a lean AGENTS.md index with progressive…
Check how much of a ticket is already implemented — split it into requirement blocks, judge each against the code, and save a human-readable TICKET-STATUS…
Draft, rewrite, or refine a doc for maximum token economy without losing any rule or intent. Use for docs kept in version control and regularly re-read by…
Author or refine a skill for maximum token economy without losing intent. Use when creating any new skill or editing an existing `SKILL.md`.
Audit what auto-loads into an agent session's context window and suggest lean, reversible fixes to cut startup tokens.
Turn a refined requirements document into a structured implementation PLAN.md a fresh session can execute. Planning only — decides the "how", not the "what".…