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Found 267 Skills
Write, run, and analyze structured test suites for Agentforce agents. TRIGGER when: user writes or modifies test spec YAML (AiEvaluationDefinition); runs sf agent test create, run, run-eval, or results commands; asks about test coverage strategy, metric selection, or custom evaluations; interprets test results or diagnoses test failures; asks about batch testing, regression suites, or CI/CD test integration. DO NOT TRIGGER when: user creates, modifies, previews, or debugs .agent files (use developing-agentforce); deploys or publishes agents; writes Agent Script code; uses sf agent preview for development iteration; analyzes production session traces (use observing-agentforce).
Language-specific coding standards and validation rules. Provides Python, Go, Rust, TypeScript, Shell, YAML, JSON, and Markdown standards. Auto-loaded by /vibe, /implement, /doc, /bug-hunt, /complexity based on file types.
Provides production-ready Kubernetes manifest guidance including resource management, security, high availability, and configuration best practices. This skill should be used when working with Kubernetes YAML files, deployments, pods, services, or when users mention k8s, container orchestration, or cloud-native applications.
Convert data between formats (JSON, XML, CSV, YAML, TOML). Use when transforming data structures or migrating between data formats.
SOPS and age encryption for secrets management in git repositories. Use when: (1) Setting up encrypted secrets in a project (initial .sops.yaml configuration) (2) Encrypting/decrypting YAML, JSON, ENV, or INI files with age keys (3) Managing age keys (generation, distribution, rotation) (4) Configuring path-based encryption rules for different environments (5) Integrating SOPS decryption in CI/CD pipelines (GitHub Actions, GitLab CI) (6) Troubleshooting SOPS decryption failures or key issues (7) Selective encryption with encrypted_regex patterns
Generates technical guides that teach real-world use cases through progressive examples. **Auto-activation:** User asks to write, create, or draft a guide or tutorial. Also use when converting feature documentation, API references, or skill knowledge into step-by-step learning content. **Input sources:** Feature skills, API documentation, existing code examples, or user-provided specifications. **Output type:** A markdown guide with YAML frontmatter, introduction, 2-4 progressive steps, and next steps section.
Build and deploy new Goldsky Turbo pipelines from scratch. Triggers on: 'build a pipeline', 'index X on Y chain', 'set up a pipeline', 'track transfers to postgres', or any request describing data to move from a chain/contract to a destination (postgres, clickhouse, kafka, s3, webhook). Covers the full workflow: requirements → dataset selection → YAML generation → validation → deploy. Not for debugging (use /turbo-doctor) or syntax lookups (use /turbo-pipelines).
Mandatory protocol for dispatching any built-in and custom agent in this project via the task tool. Use this skill EVERY TIME you are about to call the task tool with a custom agent_type. This skill ensures the agent's intended model (declared in its YAML frontmatter) is respected rather than overridden by a default. Also encodes prompting best practices for subagent context and quality. ALWAYS invoke before any task tool call that targets a custom agent — even if the agent name seems obvious.
Use this skill for project schedule management — tracking modules, milestones, and delivery phases stored in YAML. Invoke whenever the user asks about: project progress or delivery status, module status (planned/in_progress/done/deferred), weekly task breakdown, milestone countdowns, risk analysis, linking OpenSpec changes to modules, or syncing schedule data to Yunxiao. Triggers on: "planning", "schedule", "progress", "milestone", "what's this week", "what's left", "mark as done", "排期", "进度", "本周任务", "里程碑", "模块状态", "还剩多少". Do NOT trigger for: calendar reminders, weekly work reports, or Yunxiao tasks without schedule context.
Generate test and suite specifications in the strict FinalRun YAML format. Handles automated test planning, folder grouping by feature, repo app configuration, environment-specific overrides in .finalrun/env/*.yaml, and validation via finalrun check.
Validates and scores Claude Code skill packages for quality, completeness, and best practices compliance. Tests Python scripts, checks YAML frontmatter, and generates quality reports. Use when creating new skills, validating skill packages, or auditing skill quality.
Overview of gh-infra and command workflow (import, validate, plan, apply). Use when managing GitHub repository settings, labels, actions settings, rulesets, secrets, variables, or files declaratively via YAML manifests.