Use when the user says 'convert this html to bricks' or 'paste html into bricks', or has a Webflow, Framer, CodePen, or old static export to bring into a Bricks site. Converts raw HTML and CSS into native Bricks elements, mapping colors, type, and spacing to design tokens, plus ACSS classes when installed.
Use when the user says 'figma to bricks', 'build this figma design in bricks', or hands over a Figma frame to rebuild on a Bricks Builder site. Maps the Figma node tree to native Bricks elements with BEM global classes, imports the frame's palette into the Bricks design system, and writes to a draft, so nothing live is touched.
Use when the user says 'migrate elementor to gutenberg', 'convert elementor to blocks', 'remove the elementor dependency', or 'go back to native wordpress'. Maps Elementor widgets to core blocks and creates draft duplicates for review.
Use when the user says 'convert this html to breakdance' or 'paste html into breakdance', or has a Webflow, Framer, CodePen, or old static export to bring into a Breakdance site. Converts raw HTML and CSS into native EssentialElements nodes in _breakdance_data, mapping colors, type, and spacing to Breakdance Variables, and refusing element types Breakdance would skip-render.
Repurpose existing content into a native Threads post or thread. Take a LinkedIn post, X thread, blog, YouTube script, or newsletter and rewrite it for Threads: warm the tone, de-corporate it, refit to a short post or light thread, rebuild the hook to clear the soft fold, strip off-platform artifacts, run the humanizer, publish via Publora on approval. Not for writing from scratch (use threads-post-writer), auditing a draft (use threads-humanizer), or a hook teardown (use threads-hook-extractor).
Connect a site's existing WebMCP tools to AgentLane without rebuilding them. Use when a codebase already registers document.modelContext tools — natively or through any SDK — and the developer wants them visible in AgentLane, migrated onto @nekuda/webmcp-sdk with durable stable keys and verified to behave exactly as before.
Accessibility audit, scoped to the surfaces a product actually has. Detects web / rendered_markdown / terminal / native_app / video_audio / document / headless, then applies only the criteria that bind. WCAG 2.1 AA in full for web; not at all for headless.
Rates any SKILL.md on a 0-100 scale across 10 dimensions with a SHIP / REWORK / SCRAP verdict. Evaluates trigger precision, instruction clarity, output predictability, edge case coverage, anti-hallucination guardrails, developer experience, composability, open-source readiness, wow factor, and real-world utility. No flattery — calibrated against Anthropic's own skill-creator rubric. Use this skill whenever someone says "score this skill", "rate my skill", "is this skill good", "skill review", "skill audit", "roast my SKILL.md", "grade this", "will this skill work", "evaluate my skill", "how good is this", or pastes a SKILL.md and asks for feedback. Also trigger when comparing two skills, benchmarking a skill collection, or asking "what's wrong with this skill" — even without the word "score".
Inspect stack frames of a running Python process including thread stacks, native C-level frames, and async coroutine stacks. Use this to see what each thread is currently doing and diagnose hangs, deadlocks, or stuck async tasks.
Turn a KOL roster + subreddit brand-fit analysis into a deployable creator network. Splits creators into KOL (authority) and KOC (grassroots) layers, matches each to a main + secondary subreddits by real gear/shooting-type ∩ community fit, and emits an account×subreddit deployment_matrix (with a ≤3-per-sub ceiling + no-cross-interaction rule) plus per-creator persona_cards. Route A disclosed-compliance baked into every card (FTC disclosure required on any material connection). Consumes reddit-kol-finder's kol_roster.json natively. READ-ONLY, deterministic, no LLM key needed.
Use the open-source free `CSharpier` formatter for C# and XML. Use when a .NET repo intentionally wants one opinionated formatter instead of a highly configurable `dotnet format`-driven style model.
Apply MCAF human-review-planning guidance for a large AI-generated code drop by reading the target area, tracing the natural user and system flows, identifying the riskiest boundaries, and prioritizing the files a human should inspect first. Use when the codebase is too large to review line-by-line and you need a practical review sequence plus a prioritized file list.
Adopt MCAF governance in a .NET repository with the right AGENTS.md layout, repo-native docs, skill installation, verification rules, and non-trivial task workflow. Use when bootstrapping or updating MCAF alongside the dotnet-skills catalog.
Calculates required credit enhancement levels with loss modeling, attachment/detachment points, and rating agency methodology. Use when sizing credit enhancement, modeling loss scenarios, or determining tranche subordination.
Builds currency hedging models with rolling forward programs, option-based strategies, and cross-hedge analysis for international portfolios. Use when designing hedge programs, analyzing hedge ratios, or evaluating FX protection costs.
Calculates dilutive impact of equity issuance on existing shareholders with EPS, ownership, and NAV per share analysis. Use when modeling dilution, communicating shareholder impact, or comparing capital raise alternatives.
Structures fresh-start accounting analysis with reorganization value allocation, new basis determination, and emergence balance sheet. Use when modeling fresh-start accounting, preparing emergence financials, or allocating reorganization value.
Builds mining project financial models with resource estimation, mine plan integration, and commodity price sensitivity analysis. Use when modeling mining investments, analyzing feasibility studies, or evaluating mineral assets.
Compares build vs buy alternatives with risk-adjusted returns, time-to-value, and execution probability assessment. Use when evaluating growth strategies, comparing M&A vs organic investment, or analyzing make-vs-buy decisions.
Builds renewable energy yield models with resource assessment, capacity factor analysis, and P50/P90 production estimates. Use when modeling wind/solar yields, analyzing resource data, or evaluating production uncertainty.