generate-release-notes
Generate categorized release notes from any source (GitHub, Linear, Jira, or manual input) with optional publishing
Generate categorized release notes from any source (GitHub, Linear, Jira, or manual input) with optional publishing
Check for and apply upstream COG framework updates (skills, docs, scripts) without touching personal content
Transform a UI screenshot into a structured Cinema4D/Octane JSON render prompt for photorealistic 3D poster art. Use this skill whenever the user uploads a UI screenshot (app, website, tool, dashboard) and wants a Cinema4D render prompt, 3D poster, AIGC image prompt, or any photorealistic visualization of an interface. The output is always a clean JSON file — never prose or Midjourney text strings.
Generate growth strategies and ready-to-publish marketing content for product growth. Use when planning launches, assessing product-market fit, creating marketing content, designing experiments, optimizing activation/onboarding, or developing acquisition strategies. Incorporates proven frameworks from Sean Ellis (PMF testing, ICE prioritization) and Nikita Bier (viral consumer growth, activation optimization). Covers product-market fit assessment, activation optimization, viral loops, SEO, email marketing, social media, landing pages, and growth experiments.
Perform thorough code reviews with actionable feedback. Use when the user says "review", "/review", "code review", asks for feedback on code, wants a PR reviewed, or needs a second pair of eyes on their changes. Analyzes code for bugs, security issues, performance, maintainability, and best practices.
Clarify what job your product actually does for people. Use when uncertain about value proposition, preparing customer interviews, writing positioning/copy, or deciding what to build. Interactive and output-focused - produces job statements, interview scripts, and opportunity analysis rather than lecturing theory.
Comprehensive SEO optimization covering traditional search (Google/Bing), answer engines (ChatGPT, Perplexity, AI Overviews), and agent/LLM accessibility (llms.txt, semantic HTML, structured data). Use for SEO audits, content discoverability, meta tags, structured data, llms.txt creation, citation optimization, Reddit/YouTube strategies, or programmatic SEO. Triggers include "SEO audit", "AEO", "optimize for ChatGPT", "citation optimization", "Reddit SEO strategy", "YouTube SEO", "llms.txt", "programmatic SEO", "answer engine optimization", or explicit "/seo".
Parallel execution engine for dispatching worker agents. Used by conductor-orchestrator to spawn multiple workers simultaneously from DAG parallel groups. Handles dispatch, monitoring, aggregation, and failure recovery.
面向将原生小程序迁移到 `weapp-vite + wevu + Vue SFC` 的结构化迁移工作流,覆盖分波次推进、行为等价改造、`Page/Component` 到 `.vue`、props/events 类型化、`definePageMeta`/layout、平台守卫、`.weapp-vite` 支持文件、自动路由与 AI 工作流对齐,以及迁移后的截图/日志/e2e 验证与回滚检查点。
Full Sentry SDK setup for Python. Use when asked to "add Sentry to Python", "install sentry-sdk", "setup Sentry in Python", or configure error monitoring, tracing, profiling, logging, metrics, crons, or AI monitoring for Python applications. Supports Django, Flask, FastAPI, Celery, Starlette, AIOHTTP, Tornado, and more.
Prevents generic AI-generated designs by guiding typography, color, motion, and background choices. Use when creating frontend designs, landing pages, dashboards, or any UI/UX work. Helps avoid the "AI slop" aesthetic.
Enforces active voice for logger messages and the Event Details API. Use when writing a new logger class or modifying message arrays in getInfo().
Salesforce Data Cloud Prepare phase. TRIGGER when: user creates or manages Data Cloud data streams, DLOs, transforms, or Document AI configurations, or asks about ingestion into Data Cloud. DO NOT TRIGGER when: the task is connection setup only (use sf-datacloud-connect), DMOs and identity resolution (use sf-datacloud-harmonize), or query/search work (use sf-datacloud-retrieve).
Salesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase `sf data360` workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching sf-datacloud-* skill), the task is STDM/session tracing/parquet telemetry (use sf-ai-agentforce-observability), standard CRM SOQL (use sf-soql), or Apex implementation (use sf-apex).
Agent Script DSL for deterministic Agentforce agents. TRIGGER when: user writes or edits .agent files, builds FSM-based agents, uses Agent Script CLI (sf agent generate authoring-bundle, sf agent validate authoring-bundle, sf agent preview, sf agent publish authoring-bundle, sf agent activate), or asks about deterministic agent patterns, slot filling, or instruction resolution. DO NOT TRIGGER when: Builder metadata work (use sf-ai-agentforce), agent testing (use sf-ai-agentforce-testing), or persona design (use sf-ai-agentforce-persona).
Salesforce Data Cloud Act phase. TRIGGER when: user manages activations, activation targets, data actions, or downstream delivery of Data Cloud audiences and data. DO NOT TRIGGER when: the task is segment creation (use sf-datacloud-segment), data retrieval/search work (use sf-datacloud-retrieve), or STDM/session tracing (use sf-ai-agentforce-observability).
Use when working with transformers, understanding event validation/enrichment/redaction, or learning about transformer chaining. Covers interface, return values, and pipeline integration.
Run IV, DiD, and RDD analyses in R with proper diagnostics