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Found 639 Skills
Create and manage multi-step outreach sequences — LinkedIn messages, cold emails, and follow-ups with personalization. Use when asked to "send outreach", "create email sequence", "follow up with leads", "start a drip campaign", "send LinkedIn messages", "personalized outreach", or any automated multi-step communication workflow.
Josh Braun's 5 cold email writing principles plus personalization best practices. Use when refining email copy, improving message quality, or reviewing outreach for common mistakes.
Search your personal Yuque knowledge bases with natural language queries and provide summarized answers with key points and source links. For personal/individual use — searches across your own documents.
Use when the user needs user research methodologies, persona development, journey mapping, usability testing plans, or information architecture analysis. Triggers: user says "user research", "persona", "journey map", "usability test", "card sort", "heuristic evaluation", "information architecture", "user interview", understanding user behavior.
Create a complete custom BTI personality test (like LBTI, FBTI, etc.) based on the XBTI architecture. User provides a theme name and preferences, AI generates all content: dimensions, questions, personality types, descriptions, and avatar images via lovstudio:image-creator. Trigger when user says "创建BTI", "自定义人格测试", "make a BTI", "custom personality test", "XBTI变体", "xbti-creator", or mentions creating something like LBTI/FBTI/etc.
Build and maintain an LLM-curated personal knowledge base — the "LLM Wiki" pattern from Andrej Karpathy's April 2026 gist. Use this skill whenever the user wants to ingest a source (paper, article, transcript, PDF, notes) into a persistent compounding knowledge base, ask a question against accumulated notes, lint or audit such a base, or initialize a new one. Trigger on phrases like "add this to my wiki", "ingest this paper", "compile this into the knowledge base", "what does my wiki say about X", "lint the wiki", "build a knowledge base from these documents", "research notes", "second brain", "personal knowledge base", or any reference to LLM Wiki / OmegaWiki. Trigger even when the user does not say "wiki" — if they are accumulating sources over time and want them organized, this applies. The skill scales — sharded indexes, atomic pages, YAML frontmatter, and a bundled search script keep the wiki from becoming a context bottleneck at hundreds or thousands of pages.
Build fact-grounded short-form video personas and visual consistency packs from validated benchmark research. Use this when you need to define a repeatable creator archetype, image prompt pack, or persona lock for batch video production. This skill must derive personas from real benchmark evidence such as creator types, protagonist descriptions, visual styles, hooks, and audience language. Do not invent personas or visual traits without source support.
Expert in human behavior, personality theory, motivation, and cognitive patterns — builds psychologically credible characters and interactions grounded in clinical and research frameworks
This skill should be used when the user wants to review code, audit a diff, get a second opinion on changes, or run an adversarial review of files in the current working tree. Common triggers include "review this code", "audit this diff", "find issues in", "second opinion on this", "harsh review of", "adversarial review", and "security review of". Picks one or more reviewer personas (adversarial, security, architecture, performance). Reviews local files, `git diff`, or `git diff --staged` only — does not fetch external content. Runs in one of four modes: single-agent (one persona in the current agent), cross-model handoff (independent second opinion via another local AI CLI, with secret-shield preflight + prompt-shield wrap), multi-bg-agent (one persona per parallel background subagent), or agent-team (Claude Code Teams or equivalent on supporting agents). Skip when the user wants formatting fixes (use a linter) or refactoring patterns (use ts-best-practices or ts-best-practices-functional).
Build a personalized learning roadmap with milestones and practice checkpoints
Self-improving agent toolkit — forge runtime tools, adapt personality traits, manage skills dynamically, compose multi-step workflows, and self-evaluate performance with bounded autonomy.
Use when a Luma / 拾光 / 拾光智能体 / 拾光工具 agent needs content research, topic discovery, keyword tables, persona-based search, or Excel-friendly research outputs for short-video planning.