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big-emotion

@big-emotion source repo

22 published skills

  1. Fix Train · big-emotion
    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 comments, and `<!-- review-train -->` "Issues requiring changes" comments / `changes-requested` label), consolidate a per-PR fix checklist, dispatch a team of parallel fixer sub-agents (one isolated worktree per PR) that implement the minimal fixes and run the repo's quality gates, then push to each PR branch and post one status comment. Presents one consolidated plan and asks for a single grouped confirmation before any write. Never reviews from scratch, never resolves unrelated CI/conflicts, never merges. Generic and repo-agnostic. Use when the user shares a GitHub pull-requests page and asks to "fix all the change requests", "address the review feedback on every PR", "clear the changes-requested queue", or invokes /fix-train.
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  2. Thought · big-emotion
    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.
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  3. Project Standard Spec · big-emotion
    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 docs/confluence-spec/config.json, using the project template. Append-only on Confluence, Pending only. Use when you face a bug, want to add a feature, or need to refine an idea.
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  4. Issue Train · big-emotion
    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
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  5. Merge Train · big-emotion
    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 (mergeable / changes-required / blocked-by-order). Presents one consolidated plan, asks for a single grouped confirmation, then fixes + merges every mergeable PR in order and posts an order-blocking status comment on the rest. Generic and repo-agnostic. Use when the user shares a GitHub pull-requests page and asks to "process all the PRs", "check the merge order", "fix CI and conflicts and merge what can be merged", or invokes /merge-train.
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  6. Project Standard Audit · big-emotion
    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 ready", "audit the project", "production-readiness check", or invokes /project-standard-audit.
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  7. Fix CI Train · big-emotion
    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 per-PR CI-fix checklist, dispatch a team of parallel fixer sub-agents (one isolated worktree per PR) that apply the minimal fix, run the repo's quality gates locally, push to each PR branch, then poll CI until it turns green (or a break-out condition is hit). Presents one consolidated plan and asks for a single grouped confirmation before any write. Never reads reviewer feedback, never reviews from scratch, never merges. Built to unblock CI-gated review workflows — once a PR is green, `review-train` can then run on it. Generic and repo-agnostic. Use when the user shares a GitHub pull-requests page and asks to "fix CI on all the PRs", "make the red PRs green", "unblock the review-gated PRs", or invokes /fix-ci-train.
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  8. Review Train · big-emotion
    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 five-axis review in the exact structured format of the project's reference review. Presents one read-only plan, asks for a single grouped confirmation, then posts one review comment per PR and applies an `approved` or `changes-requested` label (removing the opposite). Never fixes CI, never resolves conflicts, never pushes, never merges. Generic and repo-agnostic. Use when the user shares a GitHub pull-requests page and asks to "review all the open PRs", "code review the PR queue", "do a review pass", or invokes /review-train.
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  9. Setup · big-emotion bundle
    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 variant, M365 mail, secrets doctrine). Use when starting a new Big Emotion project, bringing an existing repo up to standard, checking a repo's compliance, or setting up deploy/mail/secrets ("setup this project", "install the standard", "gap analysis", "is this repo up to standard", "deploy this on the VPS").
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  10. Expertify · big-emotion
    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 /expertify, asks "what's the proper term for…", "what do you call the person/role who…", or wants their prompt upgraded with the right domain vocabulary before asking it.
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  11. Project Standard Ticket · big-emotion
    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 sub-agents, opens the pull request, then moves the ticket to the review column and comments the PR link. Runs fully automatically with no confirmation gates. Use when the user pastes a Jira ticket link, says "prends ce ticket", "implémente ce ticket Jira", "traite ce ticket", or invokes /project-standard-ticket.
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  12. Repo Scout · big-emotion
    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.
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  13. Project Standard Release · big-emotion
    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, then asks for explicit confirmation before pushing. Tag push triggers no workflow — this repo has no deploy; the GitHub Release is created directly by this skill. Use when the user says "release project-standard", "cut a release", "bump version", "tag a new version", or invokes /project-standard-release.
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  14. Audience Audit · big-emotion bundle
    Measures what a site's audience actually does and writes the dated report the downstream comms skills consume. Crosses privacy-analytics data with the repository's own URL inventory to give every visited page one verdict — Keep, Improve, Merge, Create — and to surface dead ends, cannibalised pages, unattributed channels and the mobile-desktop gap. Read-only on source; writes exactly one Markdown file. Use for "que dit le trafic", "quelles pages marchent", "audit de contenu", "rapport d'audience", "content audit", or /audience-audit.
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  15. Video Director · big-emotion
    Video Director
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  16. AI Code Tells · big-emotion
    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, and the concrete fix. Use when the user says "check for AI tells", "review this diff for AI smells", "ai-code-tells", or invokes /ai-code-tells. Works standalone; pairs well with any always-on code-quality rules you define in your own CLAUDE.md.
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  17. Blueprint · big-emotion bundle
    Blueprint — Frontend Spec Pipeline
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  18. Reverse UI · big-emotion bundle
    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 design system", "analyze the design of a website", or wants to reproduce a site pixel-perfect.
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  19. Content Strategist · big-emotion
    Decides what to publish next, on which channel, how often and for whom — from measured audience evidence and the real publishing history, never from taste. Consumes the dated report written by audience-audit, collects per-post performance from the platforms, and returns directives with their reason attached rather than a menu of options. Never publishes, schedules or posts without explicit per-post approval. Use for "quoi publier", "quelle vidéo ensuite", "sur quel réseau", "à quelle fréquence", "quel public", "plan éditorial", "calendrier de contenu", "quel contenu marche", "stratégie de contenu", or /content-strategist.
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  20. Attention Architect · big-emotion bundle
    Attention Architect
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  21. Validate Fidelity · big-emotion
    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.
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  22. Project Standard Bootstrap Confluence · big-emotion
    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 initializing the spec system, never for ongoing maintenance.
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