- 📁 agents/
- 📁 references/
- 📁 scripts/
- 📄 .env.example
- 📄 .gitignore
- 📄 README.en.md
JumpServer V4.10 查询与分析 skill。Use when users ask to query assets/accounts/users/organizations/permissions, inspect access or governance, audit logins/sessions/commands/file transfers, diagnose config or organization issues, or analyze JumpServer usage data for a specific day or time range such as 使用报告、日报、某天使用情况、某天登录/会话/命令/传输情况、usage report, daily usage report, usage analysis, or JumpServer usage overview.
Browse the web for any task — research topics, read articles, interact with web apps, fill forms, take screenshots, extract data, and test web pages. Use whenever a browser would be useful, not just when the user explicitly asks.
Autonomously create, test, and validate a data connector for any web platform — end to end. Use when asked to "auto-create a connector", "automatically build a connector", or when a connector needs to be created from scratch and tested without manual guidance.
- 📁 .beads/
- 📁 .claude-plugin/
- 📁 .github/
- 📄 .gitignore
- 📄 AGENTS.md
- 📄 CHANGELOG.md
Pair-program with a live re-frame application via shadow-cljs nREPL. Inspect app-db, dispatch events, hot-swap handlers, trace dispatches, read epoch data, time-travel, and perform post-mortems without source edits when probing. Use whenever the user asks about their running
This skill should be used when the user asks to "analyze this dataset", "run datavoyager", "run data voyager", "explore this data", "what's in this CSV", "statistical analysis of", "find patterns in", or wants an AI-driven, code-executing analysis of a tabular dataset that answers a specific research question.
Constructive arrangement — actually building song structure in Ableton. Use when the user asks to "arrange", "structure a song", "add an intro", "build a verse", "create sections", "scene to arrangement", "record to arrangement", or wants to place clips on the timeline or organize scenes. For analysis of existing structure ("improve transitions", "detect motifs", "analyze composition"), use livepilot-composition-engine instead.
- 📁 agents/
- 📁 config/
- 📁 references/
- 📄 SKILL.md
Systematic reverse engineering of unknown systems using scientific methodology. Use when: (1) Black-box analysis, (2) Competitive intelligence, (3) Security analysis, (4) Forensics, (5) Building predictive models. Features 6-phase protocol, Bayesian inference, compositional synthesis, and psychological profiling (PSYCH tier).
Browser automation with persistent page state using Vercel's agent-browser CLI. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include 'go to [url]', 'click on', 'fill out the form', 'take a screenshot', 'scrape', 'automate', 'test the website', 'log into', or any browser interaction request.
Use when a new reusable skill needs to be built, either detected by gap analysis, requested by the user, or triggered by /singularity-create
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
Automatically generate dbt dimensional models from raw Snowflake tables. Use when: user wants to generate dbt models, shift left data modeling, automate dimensional modeling, create facts and dimensions from raw data, build a star schema from raw tables, or auto-generate dbt code. Triggers: generate dbt models, shift left, dimensional model, auto model, star schema from raw, dbt from iceberg, dbt from raw, one big table, OBT, wide table.
Specialized logic for cleaning and reshaping choice-based conjoint data from Qualtrics exports into analysis-ready long format. Use when (1) preparing conjoint survey data for analysis, (2) reshaping wide Qualtrics exports to long format, (3) mapping conjoint choice and rating variables to profile-level outcomes, (4) translating attribute labels across languages, (5) diagnosing pilot contamination or data quality issues in conjoint data, or (6) setting AMCE reference categories. Covers Qualtrics column conventions, existing R packages, wide-to-long reshaping, choice variable encoding, attribute-level translation, data validation, and analysis-ready output.
