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Found 102 Skills
Write or regenerate a value-first pull-request description (title + body) for the current branch's commits or for a specified PR. Use when the user says 'write a PR description', 'refresh the PR description', 'regenerate the PR body', 'rewrite this PR', 'freshen the PR', 'update the PR description', 'draft a PR body for this diff', 'describe this PR properly', 'generate the PR title', or pastes a GitHub PR URL / #NN / number. Also used internally by ce-commit-push-pr (single-PR flow) and ce-pr-stack (per-layer stack descriptions) so all callers share one writing voice. Input is a natural-language prompt. A PR reference (a full GitHub PR URL, `pr:561`, `#561`, or a bare number alone) picks a specific PR; anything else is treated as optional steering for the default 'describe my current branch' mode. Returns structured {title, body_file} (body written to an OS temp file) for the caller to apply via gh pr edit or gh pr create — this skill never edits the PR itself and never prompts for confirmation.
Cross-market financial metrics batch query — revenue, net profit, ROE, debt ratio, free cash flow, gross margin for one or more symbols across HK / US / A-share / SG markets. Supports multi-symbol horizontal comparison, similar to natural-language financial screening. Triggers: "财务数据查询", "财务指标", "营收查询", "净利润查询", "ROE查询", "负债率", "现金流查询", "毛利率查询", "财务数据批量", "財務數據查詢", "財務指標", "營收查詢", "淨利潤查詢", "ROE查詢", "負債率", "現金流查詢", "毛利率查詢", "financial data query", "revenue query", "net profit query", "ROE query", "debt ratio", "free cash flow", "gross margin query", "financial metrics", "financial comparison", "batch financials".
Use when a Spec Kit feature needs `spec.md` authored or rewritten from natural-language requirements, especially when the feature has no usable specification or requirements are too vague for planning.
Scaffolds evaluation suites for the Axiom AI SDK. Generates eval files, scorers, flag schemas, and config from natural-language descriptions. Use when creating evals, writing scorers, setting up flag schemas, or configuring axiom.config.ts.
Convert an existing codebase in the current working directory into a ShinkaEvolve task directory by snapshotting the relevant code, adding evolve blocks, and generating `evaluate.py` plus Shinka runner/config files. Use when the user wants to optimize existing code with Shinka instead of creating a brand-new task from a natural-language description.
record or replay manual browser actions into a reusable single-file playwright script. use when the user invokes /auto-e2e or /aee with a url to open a page for step-by-step natural-language recording, when the user adds the record flag to save the session conversation, or when the user invokes /auto-e2e replay or /aee replay with a natural-language query to find a prior record and guide a verification re-recording against it. keep an editable step queue, support explicit variable extraction into a single params object, and finish by saving a runnable node-compatible replay script plus package.json under the agent workspace auto-e2e folder.
Generates Enonic XP content type XML schema definitions from natural-language descriptions. Covers structured content modeling including input types, form layout, option sets, item sets, mixins, x-data, and content-type inheritance. Use when creating, scaffolding, or generating Enonic XP content type definitions, adding fields or sets to existing content types, or querying Enonic XP input types and super-types. Do not use for non-Enonic CMS content modeling, GraphQL queries, JavaScript/TypeScript controllers, or generic XML editing unrelated to Enonic schemas.
Breaks natural-language problem descriptions into sub-tasks suitable for DAG nodes. The entry point of the meta-DAG. Identifies phases, dependencies, parallelization opportunities, and vague/pluripotent nodes that can't yet be specified. Uses domain meta-skills when available. Activate on "decompose task", "break down problem", "plan workflow", "what are the steps", "sub-tasks", "task breakdown". NOT for executing the decomposed tasks (use dag-runtime), building the DAG structure (use dag-planner), or matching skills to nodes (use dag-skills-matcher).
Use when the user says 'build me an app', 'create a project from this spec', 'scaffold a new repo', 'generate a starter', 'turn this idea into code', 'bootstrap a project', 'I have requirements and need a codebase', or provides a natural-language project specification and expects a complete, runnable repository. Stack-agnostic: Next.js, FastAPI, Rails, Go, Rust, Flutter, and more.
This skill should be used when the user asks to "find a dashboard", "search dashboards", "does a dashboard exist for X", "find widgets that query Y", "which dashboards use this field", "find a dashboard about errors", "look up dashboards by description", "search for existing monitoring dashboards", "find widgets that reference a field", or wants to discover existing Coralogix dashboards or widgets using natural-language or field-based search.
Author, edit, publish, and validate CARTO Builder maps via the `carto maps` CLI. Use when the user wants to create a map from a natural-language request, edit an existing map (datasets, layers, styling, privacy, popups, widgets, SQL parameters), duplicate one, upload custom marker icons, or wire up an AI agent on a map. Covers the full `carto maps` subcommand surface — `list`, `get`, `create`, `update`, `delete`, `publish`, `validate`, `schema`, `agents`, `markers`, `screenshot`, `datasets update`.
Generate Chinese / Japanese speech with StepFun's stepaudio-2.5-tts — Contextual TTS that replaces step-tts-2's `voice_label` with natural-language `instruction` (≤200 chars) plus inline `()` parentheses for句内 prosody. Use when the user wants emotional / prosody control over voice synthesis (whisper, pause, stress, mood pivot mid-sentence), batch-generates game / app voice lines, migrates from `step-tts-2` (the `voice_label → instruction` breaking change), or hits StepFun's stricter 2.5-era censorship (死/消失/political terms). Triggers on 阶跃 TTS, StepAudio 合成, 语音合成, 配音, 文本转语音, TTS 升级, 迁移 step-tts-2. For transcription with the sibling stepaudio-2.5-asr model, use the stepfun-asr skill instead.