Start with the job, then find an open-source answer

Scroll-Scrub Hero guides Claude Code, Codex, or Gemini from two generated images to a roughly seven-second video and a scroll-controlled hero. The result lets users reveal an assembly or transformation as they scroll, with staged tooltips and mobile autoplay or reduced-motion fallbacks. It supports Next.js 16+ or vanilla HTML and requires image and video service accounts.

Lingshu makes a primary agent the control plane for multi-model work. It defines scope and acceptance criteria before delegating to models, CLIs, scripts, or connectors, then reviews their increments and performs final acceptance. Phase reports, plus treating existing tests as protected contracts, help prevent drift, unauthorized actions, and weakening tests just to make a run pass.

seo-for-ai helps websites improve visibility in both traditional search and AI-agent answers. Its multi-agent audit checks server-rendered HTML, structured data, crawler rules, and FAQ extractability, then returns prioritized fixes from a URL, codebase, or template. It is aimed at sites that want agents such as ChatGPT and Claude to read and cite their content.

distill-ui reverse-engineers a codebase into a design system that people and coding agents can reuse, then builds an interactive showcase to prove the extraction matches the product. It produces design docs, canonical tokens, a component registry, and agent instructions, with optional Tailwind or React output, and can flag common AI-design patterns. It works from source code rather than guessing from screenshots.

Competitive Intel to Conversion Site turns real search results, competitor pages, and buyer reviews into a conversion-focused site strategy. It captures positioning, pricing, trust signals, and customer language, then ties each proposed section to a buyer job, objection, and proof source. The handoff includes an HTML report, site structure, wireframe, and copy pack; WebSearch/WebFetch or Firecrawl can automate collection, but manual use needs no API key.

roundtable-personas is a persona library for claude-roundtable. Each subdirectory is an independently installable perspective skill that the roundtable can discover automatically. The repository currently provides a Feynman perspective focused on scientific reasoning and logical verification, and documents the shared SKILL.md shape for adding more personas.

st-pricebook documents ServiceTitan Pricebook v2 schemas, endpoints, fields that silently disappear on writes, bulk Excel or CSV imports, configurable equipment, estimate templates, and static versus dynamic pricing. Its update pattern combines dry runs, HMAC confirmation, and read-after-write hash checks, with an incident log for recurring mistakes. The skill is tenant-agnostic, so users must replace the supplied tenant and sync placeholders before use.

Article Analyzer deconstructs an article instead of declaring it good or bad. It classifies sentences, checks factual claims against primary sources, surfaces hidden premises and skipped logical steps, and tags rhetorical framing. Its final audit-style opinion is limited to factual claims, with no-opinion boundaries for political, religious, illegal, and certain entertainment content. It can report that a source was not found without treating that absence as proof of falsehood.

Focusgroup dynamically tests conversational systems by combining reusable personas, feature scenarios, and a system under test. It runs real multi-turn conversations, then evaluates them with state checks, safety invariants, performance metrics, persona debriefs, or an LLM judge as a last resort. Reports cluster themes, segment failures by persona axes, and compare regressions. The current scope excludes browser interfaces, batch jobs, and pure classifiers.

Local Delegate decides when a large, repetitive coding task is worth sending to a local LM Studio model. It prepares a self-contained request, calls the local OpenAI-compatible endpoint, verifies the result, and falls back to direct writing when the server is unavailable. The skill targets outputs of roughly 80 lines or more, such as fixtures, enums, and test cases; it is not intended for refactoring, security-sensitive code, or small snippets. Its examples assume Windows PowerShell.

Claude Skill Mesh turns connected MCP services into a self-organizing set of readable agent specifications. It discovers available tools, observes recurring patterns and bottlenecks, spawns specialized agents for worthwhile automations, and periodically promotes, merges, or prunes them. A registry, short observation window, digest, and per-agent logs keep the state compact. It requires at least one MCP connection and is designed for Claude workflows rather than a standalone runtime.

CleanMyMac and CleanMyPC inspect actual disk usage before proposing targeted cleanup. They separate caches from user data, ask for confirmation before each deletion, use Trash-first handling for larger or riskier items, and compare free space before and after. The skills cover macOS and Windows, but explicitly protect passwords, mail, cloud-synced files, browser profiles, and other sensitive locations. They are for negotiated cleanup, not blind sweeping.

Content Repurposing Engine turns an article, essay, podcast transcript, or report into platform-specific deliverables. It extracts the central claim, hook, proof, and takeaway, flags thin or technical material, and can produce a LinkedIn post, X thread, newsletter blurb, or short-video hook with a format-specific visual idea. A selector lets you request only the outputs you need, while tone presets keep the voice consistent.

Snapshot Reader lets an agent work from two Markdown files: one file tree and one snapshot containing the source in code blocks. It extracts only the files needed for a request, tracks multiple snapshots across turns, and returns minimal BEFORE/AFTER fragments ready to apply in an editor. The workflow is useful when you do not want to grant direct repository access, but changes are applied by the user rather than written automatically.

Agentic Contract Skill renders a branded Agentic Development Services Agreement from provider, client, project, commercial, and governance facts. It supports base INI configuration plus client overrides and can output a contract PDF, filled Markdown source, and optional addressed envelope. The local generator uses Python packages including ReportLab, Jinja2, and PyYAML. Its demo template is not legal advice, so real engagements need counsel-reviewed terms.

Issue Creator turns a bug, feature request, or infrastructure need into a repository-aware GitHub issue. It inspects the code to cite verified file and line locations, searches for duplicates, follows repository templates and triage rules, and prepares acceptance criteria without prescribing the fix. A full preview appears before `gh issue create`, and publication waits for approval. It does not implement changes, open pull requests, or triage existing issues.

CoFoundr’s handoff and pickup skills keep a multi-session coding epic in one living Markdown file. Handoff appends completed features, decisions, files, debt, and session notes, while pickup briefs the next session on current state, remaining work, open questions, and priorities. The document is archived only when the epic ships, so context accumulates instead of scattering across dated files. These skills manage continuity, not implementation.

Stem Cheat Sheet helps students turn course materials and past exams into a compact, exam-targeted reference. It asks about weak topics and page constraints before laying out source-grounded formulas, recognition rules, procedures, traps, and small examples. The generated PDF must be checked against the allowed page count, paper size, sides, color, and example policy. Without shell access, it can still produce HTML but cannot verify the printed page count.