Prevent destructive operations using Claude Code hooks. Three modes — cautious (warn on dangerous commands), lockdown (restrict edits to one directory), and clear (remove restrictions). Uses PreToolUse matchers for Bash, Edit, and Write.

Analyze permission prompts and auto mode denials, then generate permission rules and autoMode entries that cut prompt fatigue. Use when prompts keep interrupting, auto mode falls back to prompting, or after sessions with many denials.

Provider-agnostic multi-LLM deliberation. Three phases — independent responses, cross-model anonymized ranking, chairman synthesis. Credentials come from explicit plugin configuration or pro-workflow-specific CLI variables. Persists transcript to a wiki page when --wiki <slug> is passed. Use when the user wants multiple AI perspectives, consensus-building, or the "LLM Council" approach for high-stakes reviews, plan critique, or contested learning rules.

Master the four operations of context engineering — Write, Select, Compress, Isolate. Manage token budgets, compaction strategies, and context partitioning to keep AI sessions sharp and efficient.

Use Langfuse's disposable per-PR previews at pr-N.preview.langfuse.com (synthetic data only). Use for preview access, failed deployments, test-data seeding, kubectl debugging, or waking sleeping previews.

Research Langfuse production telemetry with reusable Datadog queries. Use for tenant or project activity, API usage, queue behavior, spans, logs, metrics, or ad hoc measurements across production regions; pair with debug-issue-with-datadog for root-cause analysis.

Shared workflow for editing Langfuse's repo-owned agent setup under `.agents/`. Use when changing AGENTS files, shared skills, `.agents/config.json`, generated shim behavior, provider discovery paths, or install-time agent sync.

Use when editing worker/src/constants/default-model-prices.json, packages/shared/src/server/llm/types.ts, pricing tiers, tokenizer IDs, or matchPattern regexes for OpenAI, Anthropic, Bedrock, Vertex, Azure, or Gemini model pricing.

Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault. Use when an agent must save work state, transfer context, resume another agent's task, or search shared project knowledge.

Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault. Use when an agent must save work state, transfer context, resume another agent's task, or search shared project knowledge.

Open plans and HTML artifacts in a local browser canvas where the human annotates elements, chats, and approves or requests changes without leaving the page. Use when presenting a plan for review, or when feedback like "move this, change that" is easier pointed at than typed.

Example V2 review skill.

Example V2 discovery skill.

Example mixed review skill.

Example mixed discovery skill.

Invoke when user asks to choose a Constructor Studio workflow; resolves cf-* workflows and presents a companion-aware launch menu.

Review Rust changes against idiomatic Rust guidelines and ToolKit framework rules. PR mode posts inline comments on GitHub; local mode reviews a branch against main and writes a markdown report.

Analyze how the GTS (Global Type System) is used in a Gear — defined types, declared instances, and references across sdk / main / plugin / docs. Thin wrapper around the `gts-analyze` CLI under tools/.

Interactive workflow for creating new ToolKit gears and editing existing ones. Use when adding a new gear to the platform, adding features to an existing gear (REST endpoints, DB entities, OData filtering, plugins, lifecycle/background tasks, SSE events, error types), refactoring gear layer structure, or creating SDK crates. Covers the full DDD-light stack — SDK pattern, contract/API/domain/infra layers, OperationBuilder, SecureORM, ClientHub, error handling, and testing.

Author and validate a metric spec for the data-path suite (tests/datapath/metrics/<class>/<name>.test.yaml fixture + test_<name>.py module, run against a compose test-stand instance). Use when asked to write/scaffold/validate a test for a metric, seed bronze data for a test, add a fixture for a dashboard metric, or check a spec. Covers schemas/, templates/, $ref+sibling composition, bronze records with duplicates, account bindings, POST /v1/metric-results, and the assertion helpers (row/equals/contains, one/some over a view, approx).