Review staged git changes, then draft a commit message and commit after approval. Intended for an agent that did not write the changes (e.g., a fresh session); the session that wrote them should use `review-and-commit` instead. Accepts optional arguments specifying the model name (e.g., `/generate-commit-message Gemini Flash 3.8 (Medium)`). Use this when the user wants a reviewed commit message for the staged changes.

Research competitor paid-ad presence, messaging, creative, formats, landing pages, keyword and auction signals, transparent ad libraries, and strategic gaps across supported platforms. Use for competitor ads, ad libraries, ad spy, competitive PPC analysis, competitor creative, Google Ads Transparency, Meta Ad Library, or paid-media competitor research.

This skill should be used when the user asks to "create a hookify rule", "write a hook rule", "configure hookify", "add a hookify rule", or needs guidance on hookify rule syntax and patterns.

Records short videos of specific page sections using Playwright's `recordVideo` API, plays scripted interactions (hover, click, focus, scroll, keypress), crops the output to a target element via `ffmpeg`, and saves a `.webm` (or `.mp4` / `.gif`) artifact to `.agent/recordings/`. Use when a still screenshot cannot prove the change — verifying a View Transition, a Motion `layout` morph, a hover stagger, a scroll-driven timeline, an `@starting-style` entry, or any multi-frame interaction. Called by the `animations` skill to validate a generated animation, by the `ux` skill to capture an interaction the `pr-reviewer` cannot read from code, and by the `pr-reviewer` agent to produce a local clip it can inspect on motion-heavy diffs. Triggers on "record this interaction", "capture this animation", "video of this section", "validate the transition visually", "screen recording", "/screen-recorder".

Run an exploratory quality pass over a change that has ALREADY merged in constructorfabric/insight — research the diff, smoke it on a stand carrying that exact build, then execute a test plan across the five quality vectors (Efficiency, Reliability, Performance, Security, Versatility) and hand each surviving finding to file-bug-insight. Use for "test what just merged", "exploratory pass on #N", "check this change across the quality vectors", "we shipped X, go break it", or a QA sweep of a release candidate's new feature. NOT for planning tests before implementation (scope-feature-tests), NOT for binding tests to a FEATURE's Definitions of Done (quality-vector-tests), NOT for validating a whole stand (insight-stand-validate), and NOT for confirming a known defect is fixed (verify-fix).

End-to-end framework that takes one problem through every layer — Problem → Computational Model → Data Model → Data Structure → Algorithm → Invariant/Proof → Complexity → Java → OOP → Design Pattern → Runtime Flow → LLD → Concurrency → Failure → Scale → System Design → Production → Adversarial Verdict. Use when the user wants the layers connected — "end to end", "from DSA to system design", "connect the data structure to the design pattern", "how does this become a production system", "full breakdown of LRU cache / rate limiter / scheduler", "LLD with the algorithm behind it", "walk this through every layer", or names this framework file. Also for evidence-tagged answers (SOURCE-SUPPORTED / DERIVED / INFERRED). Single-layer questions go to the specialist — dsa-pattern-practice, design-pattern-practice, or system-design-architect; this skill is the spine linking them.

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

Master advanced Git workflows including rebasing, cherry-picking, bisect, worktrees, and reflog to maintain clean history and recover from any situation. Use when managing complex Git histories, collaborating on feature branches, or troubleshooting repository issues.

Migrates Neo4j driver code and Cypher queries from older versions (4.x, 5.x) to current (2025.x/2026.x, Cypher 25). Covers Python, JavaScript/Node.js, Java, .NET, and Go drivers — package renames, removed APIs, version requirements, diff-ready fixes. Also handles Cypher syntax migration — QPE paths, CALL subqueries, id() → elementId(), PERIODIC COMMIT → CALL IN TRANSACTIONS, and all Cypher 25 removals. Does NOT write new Cypher queries — use neo4j-cypher-skill. Does NOT cover DB administration or server ops — use neo4j-cli-tools-skill. Does NOT provision new Neo4j instances — use neo4j-getting-started-skill.

Serverless Aura Graph Analytics (AGA) GDS Sessions — covers GdsSessions, AuraGraphDataScience, AuraAPICredentials, DbmsConnectionInfo, SessionMemory, get_or_create, remote graph projection with gds.graph.project.cypher and gds.graph.project.remote, gds.graph.project.native, gds.graph.construct, graphdatascience client 2.0 session endpoints, async compute and gds.jobs, AuraDB Cypher API memory/sessionId projection, algorithms, write-back, and session lifecycle. Use for AuraDB-connected, self-managed Neo4j, or standalone DataFrame/Spark session workloads. Does NOT cover the embedded GDS plugin on Aura Pro or self-managed Neo4j — use neo4j-gds-skill. Does NOT handle Cypher authoring — use neo4j-cypher-skill. Does NOT cover Snowflake Graph Analytics — use neo4j-snowflake-graph-analytics-skill.

Scan an iOS/macOS Xcode project for common App Store rejection patterns before submission. Use when preparing an app for App Store review, after receiving a rejection from Apple, or when auditing metadata, subscriptions, privacy manifests, entitlements, or design compliance. Integrates with the asc CLI for metadata inspection.

Post-meeting debrief — analyzes what happened, compares outcomes to your prep intentions, tracks decision evolution. Use when the user says "debrief", "what just happened in that meeting", "what did we decide", "debrief that call", "post-meeting", "what changed", or right after stopping a recording.

Write a new blog article from scratch for Google rankings and AI citations, then take it through the delivery gates. Generates the full article with template selection, answer-first formatting, Key Takeaways box, sourced statistics, licensed images, built-in SVG charts, optional FAQ and internal linking, in MDX, markdown or HTML. Use when the user asks to write a new blog post or article from a topic or brief ("write a blog post", "draft a new article", "/blog write"). Not for editing an existing post (blog-rewrite), and not for a standalone outline, brief or research request.

Post-writing SEO validation with pass/fail checklist covering title tag length and keyword placement, meta description quality, heading hierarchy and keyword density, internal/external link audit with anchor text analysis, canonical URL verification, Open Graph meta tags (og:title, og:description, og:image), Twitter Card validation, structured data presence and validity, URL structure optimization, and image alt text presence. Produces prioritized fix list with specific recommendations. Use for ONE finished post when the user says "seo check", "validate seo", "on-page seo", "title tag check", "link audit". Not for a whole-site audit (blog-audit, claude-seo), AI-citation scoring (blog-geo), schema generation (blog-schema), or the delivery gates (blog_preflight.py).

One-command multilingual blog creation. Writes a blog post, translates it into user-specified languages, applies cultural adaptation, and emits hreflang tags, sitemap entries, and a CMS-ready language map. The complete write-to-publish pipeline for international content. Orchestrates blog-write, blog-translate, blog-localize, and (optionally) seo-hreflang. Use when user says "multilingual blog", "blog multilingual", "write in multiple languages", "international blog", "mehrsprachiger Blog", "blog multilingue", "blog multilingue", "create blog in German and French".

Deep cultural adaptation of an already translated blog post for one target market: local examples, CTAs, legal references, statistic sources, and formality (Sie/du, tu/vous). Built-in profiles for DACH, Francophone, Hispanic, and Japanese markets. Use when the user says "localize blog", "cultural adaptation", "adapt for Germany", "lokalisieren", "localiser", "adaptar" and a translation already exists. Not for translating (use blog-translate), auditing a folder of translations (use blog-locale-audit), or the full write-translate-localize pipeline (use blog-multilingual).

Read-only audit of a folder of existing multilingual blog posts: translation coverage, parity, hreflang and canonical consistency, meta-tag parity, and stale translations, with a prioritized report. Use when the user says "locale audit", "check translations", "multilingual audit", "hreflang check", "Uebersetzungen pruefen" about posts that already exist. Not for creating or fixing translations (blog-translate, blog-localize, blog-multilingual) or for a site-wide technical hreflang crawl (claude-seo seo-hreflang).

Audit one blog post file for AI-citation readiness (self-contained, sourced passages, entity clarity, structure, crawler access) and score it with an internal 0-100 heuristic plus per-surface notes for AI Overviews, AI Mode, ChatGPT, Perplexity, Claude, Gemini, and Copilot. Use when the user says "geo", "aeo", "ai citation", "citation audit", "chatgpt citation". Not for a site-wide audit, live AI-visibility tracking, or schema generation (use claude-seo seo-geo, blog-audit, blog-schema), and not a promise of citations.

Verify statistics and claims in blog posts by fetching cited source URLs and checking if the claimed data actually appears on the page. Extracts all load-bearing claims (statistics, product or policy claims, ranking and comparative claims, named sources), validates cited URLs before fetching, and scores match confidence (exact match 1.0, paraphrase 0.7-0.9, not found 0.0). Flags uncited claims as UNVERIFIED and marks a claim verified only when this run fetched the source and found the passage. Checks that a source says what the post says it says; it cannot prove the source is true or verify first-hand experience. Use when the user says "fact check", "verify statistics", "check sources", "factcheck". Report only; not for rewriting posts (blog-rewrite).

Establish durable brand and voice context for cross-skill consumption. Generates BRAND.md (audience, positioning, do/don't editorial rules, taboo phrases, competitor differentiation) and VOICE.md (existing persona JSON re-expressed as readable prose), both written to the project root. When present, the blog orchestrator loads these files, fenced as untrusted data, for write, rewrite, brief, outline, calendar, and strategy workflows. Pairs with blog-persona, which manages the structured persona JSON. Use when the user says "blog brand", "create brand context", "BRAND.md", "VOICE.md", "establish editorial brand". Not for learning a voice from existing posts (blog-style) or managing persona JSON (blog-persona).