Production-readiness audit for Big Emotion Project Standard (this repo). Read-only multi-domain scored assessment that answers four questions — is the plugin ready to install on real repos, is the template surface healthy, what is the security posture, and is…
big-emotion/agent-atelier
SkillsMP has collected 18 skills from big-emotion/agent-atelier. Open a skill to review its source and details.
- Latest recorded source activity
- SkillsMP catalog refreshed
- skills collected
- 18
- GitHub stars
- 2
- GitHub forks
- 0
Skills in this repository
Showing 18 of 18 collected skills.
One-shot bootstrap of the Confluence spec tree (Requirements / Decisions / Architecture / Obsolete) for Big Emotion Project Standard. Creates the four skeleton subpages under the project's engineering root page, records their IDs in the spec config, writes…
Prepare and ship an Agent Atelier release. Bumps the semver version in the lockstep manifests (package.json, every plugins/*/.claude-plugin/plugin.json, every .claude-plugin/marketplace.json plugins[] entry), updates CHANGELOG.md (Keep a Changelog format,…
End-to-end local automation for a single Jira ticket on the Big Emotion Project Standard repo. Paste a Jira ticket URL (or key) and the skill self-assigns the ticket, reads it, refines it, creates the Jira sub-tasks, branches off the integration branch in an…
Scan a code diff for the consistent "tells" of unreviewed AI-generated code — narrating comments, generic names, hollow over-mocked tests, signature-restating docs, and unjustified decisions. Read-only; reports each finding with file:line, why it's a tell,…
>-
Reverse-engineer any web application into a complete pixel-perfect reproduction kit. Extracts design tokens, DOM structure, text content, assets, and responsive screenshots across multiple pages. Use when the user asks to "reverse-engineer a UI", "extract a…
Validate specs and implementations against the reverse-UI oracle. Catches drift before it ships. Use when checking if a spec accurately describes the original UI or if an implementation matches the original.
Batch-fix the CI on every open pull request whose required checks are red — CI only, no review, no merge. From a GitHub PRs URL (or the current repo), enumerate every open PR with failing required checks, fetch each PR's failing-check logs, consolidate a…
Batch-apply the requested changes on every open pull request in a GitHub list — fix only, no merge. From a GitHub PRs URL (or the current repo), enumerate every open PR, collect each PR's requested changes (formal CHANGES_REQUESTED reviews, inline review…
Batch-process every open GitHub issue in a list — triage, detect existing PR linkage, detect silent fixes in already-merged PRs, close issues that are no longer pertinent, then plan + build + open one PR per remaining actionable issue with `Closes
Batch-process a list of open GitHub pull requests. From a GitHub PRs URL (or the current repo), enumerate every open PR, compute the safe merge order from dependencies, then per PR fix CI, resolve merge conflicts, run a code review, and assign a status…
Batch code-review every open pull request in a GitHub list — review only, nothing else. From a GitHub PRs URL (or the current repo), enumerate every open PR, dispatch a team of parallel reviewer sub-agents (one per PR), and have each produce a high-detail…
Install and configure the Big Emotion project standard on a new or existing repo — CI quality gates, Husky hooks, the four project skills, Atlassian wiring (Jira board + Confluence spec tree), Ferry, and the infrastructure module (OVH VPS deploy, Azure…
Identify the precise professional role behind a topic or rough prompt, map lay wording to the field's proper terminology, and rewrite the prompt as an expert-grade prompt prefixed with "You are a <role>, and you will <mission>". Use when the user invokes…
Analyze a GitHub repo to understand what it does, extract its best parts, find reusable components, and get actionable usage instructions. Use when the user shares a GitHub URL and wants a practical breakdown.
Capture a surprising model answer as a thought entry. Synthesizes the last answer with context, saves as a granular file, and auto-updates the TLDR.
Spec maintainer for Big Emotion Project Standard. Reads Confluence (Requirements / Decisions / Architecture) as the source of truth, helps you investigate a problem, structures the reflection, and produces drafts — Pending REQ/DEC/ARCH sections on Confluence…