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Found 1,318 Skills
Use TypeScript for type-safe JavaScript: types, interfaces, generics, narrowing, tsconfig, modules, and strict mode. Use when writing or reviewing TypeScript, configuring tsconfig.json, defining types or interfaces, generics, type inference, or when the user mentions TypeScript, TS, or type checking.
Comprehensive prompt and context engineering for any AI system. Four modes: (1) Craft new prompts from scratch, (2) Analyze existing prompts with diagnostic scoring and optional improvement, (3) Convert prompts between model families (Claude/GPT/Gemini/Llama), (4) Evaluate prompts with test suites and rubrics. Adapts all recommendations to model class (instruction-following vs reasoning). Validates findings against current documentation. Use for system prompts, agent prompts, RAG pipelines, tool definitions, or any LLM context design. NOT for running prompts, generating content, or building agents.
When the user wants to define, audit, or apply brand strategy—purpose, values, positioning, storytelling, voice, visual identity. Also use when the user mentions "brand strategy," "brand story," "brand storytelling," "brand voice," "brand identity," "brand guidelines," "brand purpose," "brand values," "origin story," "brand narrative," "brand personality," or "brand archetype."
Write Project Guardrails, i.e. project engineering specifications. Applicable scenarios: when you need to define frontend, backend, API, data, security, operation and maintenance, and release standards during new project launch, tech stack change, multi-team collaboration, incident review, or code specification drift.
Create, validate, and transition documentation artifacts (Vision, Journey, Epic, Story, Agent Spec, Spike, ADR, Persona, Runbook, Bug, Design) and their supporting docs (architecture overviews, journey maps, competitive analyses) through their lifecycle phases. Use when the user wants to write a spec, plan a feature, create an epic, add a user story, draft an ADR, start a research spike, define a persona, create a user persona, create a runbook, define a validation procedure, file a bug, report a defect, create a design, capture a wireframe, document a UI flow, sketch interaction states, update the architecture overview, document the system architecture, move an artifact to a new phase, seed an implementation plan, implement a spec, fix a bug, work on a story, or validate cross-references between artifacts. When a SPEC, STORY, or BUG comes up for implementation, always chain into the swain-do skill to create a tracked plan before any code is written. When swain-do is requested on an EPIC, VISION, or JOURNEY, decompose into implementable children first — swain-do runs on the children, not the container. Covers any request to create, update, review, or transition spec artifacts and supporting docs.
Comprehensive B2B demand generation and lead acquisition skill. Use when building lead generation systems, creating demand acquisition campaigns, optimizing CAC, designing lead magnets, conducting lead research, or planning multi-channel demand strategies. Covers ICP definition, funnel strategy, channel optimization, lead scoring, attribution, and pipeline generation for B2B SaaS.
Implement OpenAI Harness Engineering practices in any repository. Use when setting up or refactoring agent-first workflows, writing or upgrading AGENTS.md and PLANS.md, creating deterministic smoke/test/lint/typecheck harness commands, defining strict architecture boundaries and data-shape contracts, wiring observability from day 1, and adding entropy-control checks plus CI automation for reliable autonomous runs.
Use this skill when building dbt models, designing semantic layers, defining metrics, creating self-serve analytics, or structuring a data warehouse for analyst consumption. Triggers on dbt project setup, model layering (staging, intermediate, marts), ref() and source() usage, YAML schema definitions, metrics definitions, semantic layer configuration, dimensional modeling, slowly changing dimensions, data testing, and any task requiring analytics engineering best practices.
Strategic GTM tracking planning with product manager expertise. Use when users need to plan tracking strategy, define what metrics to measure, understand business impact of tracking, create tracking specifications, or need guidance on "what should I track?" questions. Asks discovery questions about business goals, maps objectives to events, defines event taxonomy, and creates structured tracking plans. Trigger on - "plan GTM tracking", "what should I track", "create tracking plan", "define measurement strategy", "GTM strategy".
Use this skill when analyzing product funnels, running cohort analysis, measuring feature adoption, or defining product metrics. Triggers on product analytics, funnel analysis, cohort analysis, feature adoption, north star metric, AARRR, retention curves, and any task requiring product data analysis or metrics design.
Generate Harness Secret definitions and manage secrets via MCP v2 tools. Supports SecretText, SecretFile, SSHKey, and WinRmCredentials types with configurable secret managers (Harness built-in, HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, GCP Secret Manager). Use when asked to create a secret, store credentials, manage API keys, set up SSH keys, configure WinRM credentials, rotate secrets, or reference secrets in pipelines. Trigger phrases: create secret, secret text, secret file, SSH key, API key, password, credentials, secret manager, store secret.
Design, weight, and tune a lead scoring model for your sales funnel. Use when building a lead scoring system, defining MQL/SQL criteria, assigning point values to lead attributes, setting up scoring in your CRM or MAP, tuning conversion thresholds, or deciding which signals should trigger sales follow-up. Do NOT use for reading existing buying signals (use /sales-intent), building prospect lists (use /sales-prospect-list), or marketing-to-sales handoff process design (use /revops).