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SkillsMP는 tilmon-engineering/claude-skills에서 32개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 32개 중 32개를 표시합니다.
Use when working in a project that has a `.agents/` directory or when the user asks about Conway Architecture, the conway-architecture plugin, domain agents, owned_paths enforcement, or how to coordinate a persistent subagent team that shadows the…
원문 언어: 영어
Use when reading or writing OST (Outcome / Strategy / Tactic) graph data in the `agents` TypeDB database - covers the falsifiability rubric, the three-layer discipline, ID conventions, lifecycle transitions, and the structured Task fields that replace generic…
원문 언어: 영어
Use when interacting with a TypeDB 3.x database via the typedb MCP tools (typedb-query, typedb-database_schema, etc.) - covers schema-first workflow, transaction types, TypeQL 3.x syntax (which differs materially from 2.x), and the most common failure modes
원문 언어: 영어
Use when analyzing another branch's iteration journals to extract findings, decisions, and insights from divergent work
원문 언어: 영어
Use when user wants detailed status report for single autonomy branch including iteration timeline and metrics progression
원문 언어: 영어
Use when saving current iteration progress mid-conversation, before context compaction, or at interim pause points
원문 언어: 영어
Use when user wants to compare two autonomy branches to see different approaches, metrics, and outcomes
원문 언어: 영어
Use when setting up a new open-ended goal for autonomy tracking, before starting the first iteration
원문 언어: 영어
Use when concluding work on an open-ended goal to write iteration journal entry documenting work performed, decisions made, and state changes
원문 언어: 영어
Use when user wants to create new autonomy branch from current commit or specific past iteration
원문 언어: 영어
Use when user wants to create new autonomy branch with dedicated worktree for parallel agent workflows
원문 언어: 영어
Use when user wants to inventory autonomy branches with custom sorting, grouping, or filtering
원문 언어: 영어
Use when user wants to see all autonomy worktrees with their status
원문 언어: 영어
Use when user wants to safely remove an autonomy worktree while preserving the branch
원문 언어: 영어
Use when user wants to assess progress toward an open-ended goal by reading and summarizing all iteration journals
원문 언어: 영어
Use when user wants to set up slime mold exploration strategy with parallel autonomy branches for genetic algorithm approach to problem-solving
원문 언어: 영어
Use when beginning a new conversation to work on an open-ended goal, loading context from previous iterations through iteration journals
원문 언어: 영어
Component skill for creating compelling data-driven presentations and whitepapers using marp and pandoc with proper citations and reproducibility
원문 언어: 영어
Systematic data quality remediation - detect duplicates/outliers/inconsistencies, design cleaning strategy, execute transformations, verify results (component skill for DataPeeker analysis sessions)
원문 언어: 영어
Systematic comparison of segments, cohorts, or time periods - ensure fair apples-to-apples comparisons, identify meaningful differences, explain WHY differences exist
원문 언어: 영어
Component skill for creating effective visualizations (terminal-based and image-based) in DataPeeker analysis sessions
원문 언어: 영어
Identify foreign key relationships between tables using heuristics, value overlap analysis, and referential integrity checks
원문 언어: 영어
Systematic exploratory data analysis process - discover patterns in unfamiliar data, identify meaningful insights, formulate specific questions for deeper investigation
원문 언어: 영어
Systematic process for investigating open-ended questions - decompose vague questions into specific sub-questions, map to data, investigate incrementally, synthesize findings
원문 언어: 영어
Rigorous hypothesis testing process for data analysis - formulate hypotheses before looking at data, design tests, analyze systematically, interpret with skepticism
원문 언어: 영어
Systematic CSV import process - discover structure, design schema, standardize formats, import to database, detect quality issues (component skill for DataPeeker analysis sessions)
원문 언어: 영어
Component skill for systematic result interpretation with intellectual honesty in DataPeeker analysis sessions
원문 언어: 영어
Systematic marketing experimentation process - discover concepts, generate hypotheses, coordinate multiple experiments, synthesize results, generate next-iteration ideas through rigorous validation cycles
원문 언어: 영어
Use when conducting customer discovery interviews, user research, surveys, focus groups, or observational research requiring rigorous analysis - provides systematic 6-phase framework with mandatory bias prevention (reflexivity, intercoder reliability,…
원문 언어: 영어
Component skill for systematic data profiling and exploration in DataPeeker analysis sessions
원문 언어: 영어
Use when working with SQLite databases in DataPeeker analysis sessions - querying data, importing CSVs, exploring schemas, formatting output, or optimizing performance. Provides task-oriented guidance for effective SQLite CLI usage in data analysis workflows.
원문 언어: 영어
Component skill for systematic SQL query development in DataPeeker analysis sessions
원문 언어: 영어