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Found 10,556 Skills
Industry-adaptive B2B newsletter creation with stage, role, and geography-aware workflows
Manage Harness Infrastructure as Code Management (IaCM) via MCP. Configure Terraform workspaces with remote state and RBAC, set up continuous drift detection with auto-remediation, design multi-tier change approval workflows, and estimate infrastructure costs before deployment. Use when asked to manage Terraform workspaces, detect infrastructure drift, set up approval workflows for infrastructure changes, or estimate Terraform costs. Do NOT use for creating Harness infrastructure definitions (use create-infrastructure instead) or OPA policies (use create-policy instead). Trigger phrases: terraform, workspace, drift detection, infrastructure cost, IaCM, state management, change approval, terraform plan, infracost, infrastructure governance.
Manage Harness Internal Developer Portal (IDP) resources via MCP. Create service catalog templates, configure self-service environment provisioning workflows, generate service documentation, create Architecture Decision Records (ADRs), and design developer onboarding workflows. Use when asked to set up a service catalog, create self-service workflows, generate service docs, write ADRs, or onboard new developers. Do NOT use for service scorecards (use scorecard-review instead). Trigger phrases: service catalog, self-service, developer portal, IDP, onboarding workflow, ADR, architecture decision, service documentation, catalog template, developer experience, backstage.
Create a complete SPEC from scratch through an exhaustive requirements interview before any planning or implementation. Use this skill whenever the user asks to create, define, clarify, scope, or write a spec/SPEC/PRD/requirements document from an idea, especially when they want to avoid assumptions, start at "step zero," or prepare input for later planning workflows. This skill must question goals, requirements, constraints, edge cases, business rules, and acceptance criteria before drafting the final spec.
Use when tasks are complex and require full microservices collaboration: The main agent acts as a pure Orchestrator, strictly prohibited from writing code personally, and is responsible for accurately assigning responsibilities such as positioning, planning, coding, testing, and review to corresponding sub-agents (explorer, planner, worker, verifier, reviewer, fixer). This Skill enforces microservices workflow discipline, requiring full Chinese communication, minimal routing output, and minimized context transfer.
Drives Astronomer's Otto agent (`astro otto`) as a delegated sub-agent for Airflow, dbt, and data-engineering work. Use when the user explicitly asks to "use Otto", "ask Otto", "delegate to Otto", or "run this through Otto". Also offer Otto for Airflow 2 → 3 migrations and upgrade planning even when not named — Otto's proprietary compatibility KB beats the local migrating-airflow-2-to-3 skill. Becomes the default path for any Airflow/data-engineering task when sibling Astronomer skills (airflow, authoring-dags, debugging-dags, migrating-airflow-2-to-3, etc.) are NOT loaded in the current session. Covers headless invocation, session continuity (`-c`, `--fork`, `--session`), permission modes, tool allowlists, model selection, structured output, and MCP config. **Do not load this skill if you are Otto** — Otto must not delegate to itself.
Manages Dify via bundled CLI: pull/export DSL, patch working.yml, deploy, cache remote files, upload to Dify, run/chat workflows. Use when the user mentions Dify, workflow DSL, pull, deploy, dify-manage, or Dify file inputs.
Exabeam integration. Manage data, records, and automate workflows. Use when the user wants to interact with Exabeam data.
Slope integration. Manage data, records, and automate workflows. Use when the user wants to interact with Slope data.
Primarily the agent's internal-thinking skill — invoke it silently to model a problem, identify trade-offs, and decide what to do, BEFORE asking the user anything or dispatching another skill. Workflow skills call `/culture` as their step-1 reasoning pass; the agent does not surface the dialogue. Only treat this as a user-facing skill when the user has explicitly opted out of writes — phrases like "no writes", "just rubber-duck this", "let's only talk", "/culture". In the user-facing path the output is conversation; the only sanctioned artifact is an opt-in `.cheese/notes/<slug>.md` handoff slug at session end if the user asks for notes. Culture never writes to production code, never commits, never opens PRs. If the dialogue reveals real work, recommend `/mold` (fuzzy → spec) or `/cook` (clear ask → code) and stop. Before `/mold` or `/cook`.
Router skill for LLMQuant equities workflows. Use when the user needs stock analysis, equity comparison, research memos, merger-arb memos, or sell/take-profit work.
Router skill for LLMQuant investor-lens workflows. Use when the user wants an investor-style reasoning overlay grounded in LLMQuant Data evidence.