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 the score close to 8–9/10. Use when the user asks "is it…
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 the sentinel, then refuses second runs. Use only when…
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, creates it if missing), creates an annotated git tag on main…
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 + matching Jira tickets in the Jira project configured in…
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 isolated git worktree, implements the work in parallel via…
Code-quality reviewers: the ai-code-tells skill scans a diff for the tells of unreviewed AI-generated code, and the code-review agent runs a pre-push review of local changes (Claude Code agent + Codex CLI variant included).
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Pixel-fidelity pipeline for frontend work: reverse-ui extracts a complete reproduction kit from any web app, blueprint turns it into a buildable frontend spec, validate-fidelity catches drift between spec, implementation, and the original.
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Batch operators for GitHub queues: review-train reviews every open PR, fix-train applies requested changes, fix-ci-train turns red CI green, merge-train fixes and merges in dependency order, issue-train triages and builds one PR per actionable issue — all with parallel sub-agents and one grouped confirmation.
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Installs and configures the Big Emotion project standard on any repo: CI quality gates, Husky hooks, the four project skills, Atlassian wiring, and Ferry.
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Prompt-crafting utilities: /expertify rewrites a lay prompt with the precise professional role and domain terminology, /interview probes until your real intent is clear, /thought captures surprising model answers, /repo-scout breaks down any GitHub repo into reusable parts.
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Communication skills for short-form video and social publishing: attention-architect writes the script and names the mechanism behind every beat, video-director carries the production decisions and the traps that have already cost time, audience-audit measures what the audience actually does, content-strategist…
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: