Loading...
Loading...
Found 1,374 Skills
Research on Historical Isomorphism and Standard Answers. Abstract the complex dilemma the user is facing into a structural fingerprint, search for truly isomorphic successful cases, failed cases, and counterexamples in business history, management history, technology history, career history, and institutional history. Compare the constraints, decisions, and outcomes of the parties involved, and extract recurring solutions, applicable conditions, and failure boundaries. Trigger methods: /dbs-standard-answer, /标准答案 (Standard Answer), "Who faced similar problems in history?", "Has anyone encountered this situation before?", "How did they resolve it back then?", "Is there a classic solution to this problem?", "First help me find historical analogies?", "What was the standard answer in the past?". Find structurally analogous historical cases and evidence-backed standard answers. Use when the user wants to situate a current dilemma in history, compare how others addressed it, and extract recurring mechanisms with conditions and limits.
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
Create and refine OpenCode agents via guided Q&A. Use proactively for agent creation, performance improvement, or configuration design. Examples: - user: "Create an agent for code reviews" → ask about scope, permissions, tools, model preferences, generate AGENTS.md frontmatter - user: "My agent ignores context" → analyze description clarity, allowed-tools, permissions, suggest improvements - user: "Add a database expert agent" → gather requirements, set convex-database-expert in subagent_type, configure permissions - user: "Make my agent faster" → suggest smaller models, reduce allowed-tools, tighten permissions
Analyze OpenClaw skill permissions and explain exactly what each permission allows. Identifies over-privileged skills and suggests minimal permission sets.
Reference page structure, templates, and writing patterns for src/content/reference/. For components, see /docs-components. For code examples, see /docs-sandpack.
Generate and validate JSON-LD structured data, supporting Schema.org types such as Article, BlogPosting, Organization, WebPage, Product, LocalBusiness, etc. Automatically detect page types, validate syntax, check required fields, and provide Google Rich Results testing tool links and Next.js component code examples.
Generate synthetic training data when you don't have enough real examples. Use when you're starting from scratch with no data, need a proof of concept fast, have too few examples for optimization, can't use real customer data for privacy or compliance, need to fill gaps in edge cases, have unbalanced categories, added new categories, or changed your schema. Covers DSPy synthetic data generation, quality filtering, and bootstrapping from zero.
Review AI API key leakage patterns and redaction strategies. Use for identifying exposed keys for OpenAI, Anthropic, Gemini, and 10+ other providers. Use proactively when code integrates AI providers or when environment variables/keys are present. Examples: - user: "Check for leaked OpenAI keys" → scan for `sk-` patterns and client-side exposure - user: "Is my Gemini integration secure?" → audit vertex AI config and key redaction - user: "Review AI provider logging" → ensure secrets are redacted from logs - user: "Scan for Anthropic secrets" → check for `ant-` keys in code and configs - user: "Audit Vertex AI integration" → verify proper IAM roles and service account usage
Third-party perspective analysis and improvement skills for marketing pages. Targets: Landing Pages (LP), Home Pages (HP), Pricing Pages, Feature Pages, Blogs. Integrates CRO frameworks and direct response principles (Schwartz/Hopkins/Ogilvy). Usage scenarios: (1) Page audit/analysis requests (2) Conversion improvement consultations (3) Copywriting improvements (4) A/B test design (5) Implementation prioritization. Trigger examples: "Analyze my LP", "Want to increase conversion rate", "Review pricing page", "Improve hero section", "Optimize CTA", "HP improvement proposal"
Comprehensive marketing audit and analysis skill. Integratively utilize all marketing-related skills. Usage scenarios: (1) Overall marketing audit (2) Pre-launch comprehensive inspection (3) Growth strategy review (4) Competitor analysis (5) Formulation of comprehensive improvement plans. Trigger examples: "Conduct a comprehensive investigation and review of marketing aspects", "Marketing audit", "Pre-launch check", "Develop a growth strategy", "Marketing improvement plan"
Create videos from a text prompt using HeyGen's Video Agent. Use when: (1) Creating a video from a description or idea, (2) Generating explainer, demo, or marketing videos from a prompt, (3) Making a video without specifying exact avatars, voices, or scenes, (4) Quick video prototyping or drafts, (5) One-shot prompt-to-video generation, (6) User says "make me a video" or "create a video about X".
Read your database schema, generate behavioral user segments with exact queries, and recommend targeted actions per segment. Use when the user wants to understand their user base, find power users, identify churn risk, build email cohorts, or understand usage patterns. Triggers on requests like "segment users", "who are my power users", "find churned users", "user cohorts", "churn analysis", "inactive users", "behavioral segmentation", "who's about to leave", or any mention of grouping users by activity, usage, or lifecycle.