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Found 707 Skills
Independent model QA expert who audits ML and statistical models end-to-end - from documentation review and data reconstruction to replication, calibration testing, interpretability analysis, performance monitoring, and audit-grade reporting.
Self-correcting outreach loop using Exa Websets, Notion, direct Gmail SMTP, and IMAP audit. Defaults to Oulang.ai VC pre-seed raise plus Spanish-Chinese diaspora partnerships, parameterizable for any campaign. Triggers on "next wave", "audit replies", "find more investors", "outreach wave", "follow up unreplied", "fix the previous batch".
Pixel-faithful clone of any web UI into the user's existing stack, using whatever sources are available — a screenshot alone, a live URL, raw HTML/CSS, or any combination. Use this skill whenever the user wants to recreate, match, replicate, or "clone" a design from a screenshot, image, URL, Figma export, or HTML dump. Trigger on phrases like "clone this", "match this design", "build this from screenshot", "recreate this page", "make it look like this", "rebuild this UI", "copy this layout", or any time the user provides a visual reference and asks for a faithful implementation. Do not undertrigger — even if the user just drops a screenshot without explicit phrasing, this skill applies.
Initialize a full ML research project control root with independent paper, code, and optional slide repositories, shared project memory, root-level agent guidance, code-owned worktree policy, and component handoffs. Use when starting a new research project, setting up a project root for agents, connecting paper/code/slides repos, or replacing a simple paper+code workspace with a lifecycle-aware research project structure.
Create and execute Goal-Oriented Action Plans (GOAP) with precondition analysis, cost optimization, and adaptive replanning
Plan and run commercial image or video production with genmedia. Use this for product photography, ads, e-commerce batches, product reveals, lifestyle commercials, background replacement, social formats, and brand-safe prompt work.
Authors, deploys, and troubleshoots AWS infrastructure using CDK with TypeScript or Python. Covers best practices, stack architecture, and construct patterns. Always use when writing CDK constructs, bootstrapping environments, running cdk deploy/synth/diff, fixing CDK or CloudFormation errors, planning stack structure, importing existing resources, resolving drift, or refactoring stacks without resource replacement.
Use when a feature, bugfix, review, planning, implementation, verification, commit, push, or PR task needs orchestration across multiple project skills. Maestro is the entry point for full-cycle engineering work: classify the request, choose the right domain/framework skills, enforce planning/build/publish gates, and carry the task from intake to done without replacing the specialized skills it coordinates.
Interact with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
Mutating operations on the user's Longbridge recurring-investment (DCA) plans — list (read-only), create a plan, update / pause / resume / stop a plan, view trade history, check eligibility. Requires longbridge login WITH TRADE SCOPE because every plan automatically commits real money on a schedule. Every mutation requires a two-step preview + confirm protocol, and `create` requires the user to read back amount / frequency / symbol / start date / end date before confirming. Use only when the user gives a clear imperative ("create a monthly DCA on AAPL for 500 USD", "停止定投 700.HK"); ambiguous prompts ("帮我看看定投") must be rejected with a "please be specific" reply rather than triggered. Triggers: "创建定投", "新建定投计划", "设置定投", "暂停定投", "停止定投", "恢复定投", "修改定投", "建立定投", "建立定投計劃", "設置定投", "暫停定投", "停止定投", "恢復定投", "修改定投", "create DCA", "create recurring investment", "set up DCA plan", "pause DCA", "stop DCA plan", "resume DCA", "monthly DCA on X", "weekly recurring buy".
Replicate and validate a GitHub issue by spinning up Archon, analyzing the issue, and systematically testing all described symptoms using browser automation. Use when: User wants to reproduce a bug, validate a GitHub issue, confirm a reported problem, or investigate whether an issue is real before working on a fix. Triggers: "replicate issue", "reproduce issue", "validate issue", "confirm bug", "test issue", "can you reproduce", "try to replicate", "verify the bug". Capability: Checks out main, pulls latest, starts Archon, reads the GitHub issue, then uses agent-browser to systematically test every symptom and produce a findings report. NOT for: Fixing issues (use /archon or /exp-piv-loop:fix-issue), general UI testing (use /validate-ui).
Extract BUAA classroom replay artifacts from `livingroom` or `coursedetail` URLs by reusing a local Chromium login session. Use when Codex needs replay metadata, course-transcript files, optional PPT auxiliary artifacts, replay-ready lesson lists, or a standalone semantic rebuild packet / final lesson note.