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Found 15 Skills
Exploratory Data Analysis skill for CSV and parquet datasets with deterministic profiling, drift/anomaly scans, contract generation and validation, and optional memory writeback into skill-system-memory. The implementation is Polars-first (lazy scan for large files and early `--sample` head), includes high-cardinality guards for profile/importance/contract flows, and supports categorical correlation with Cramer's V. Use when building or reviewing tabular fraud/risk/data-quality workflows, profiling new datasets, checking leakage or drift, or saving/validating data contracts.
Persistent shared memory for AI agents backed by PostgreSQL (fts + pg_trgm, optional pgvector). Includes compaction logging and maintenance scripts.
Parent skill. Focuses on researching personal judgment, methodology, system capability and brand equity building in the AI era. Responsible for overall positioning control and task distribution.
Working memory for thinking out loud.
BDD-style behavior specification engine for the skill system. Use when: (1) defining a new skill's behavior before implementation, (2) validating a spec against the schema, (3) generating a behavior contract (Mermaid DAG) from a spec, (4) running structural acceptance tests against a built skill. Workflow: Spec → Test → Develop → Contract.
Generate standalone interactive dashboard HTML from skill graph, TKT, memory, and roadmap data.
기업교육 컨설턴트 리더를 위한 Claude Code 학습 튜터. "/cc-tutor", "/learn", "학습", "튜터" 요청에 사용.
Agent behavioral profiles that standardize how different LLMs behave. Load this skill when you need to: (1) adopt a specific behavioral mode for a task, (2) switch between creative/strict/talkative modes, (3) ensure consistent behavior across different models. Profiles define personality, decision heuristics, communication style, and quality standards.
Expert guide for working with opencode.ai - TUI commands, CLI operations, custom commands, agents, tools, skills system, and AGENTS.md configuration
Dynamic orchestration engine that plans multi-step agent work as DAGs with Mermaid visualization.
Postgres-backed observability and policy store for the skill system. Provides tables for policy profiles (effect allowlists), skill execution runs, and step-level events. Use when setting up the skill system database or querying execution history.
Expert guide for Nous Research's Hermes Agent framework with self-improving learning loops, three-layer memory, and automatic Skill creation