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luanquangminh

@luanquangminh source repo

5 published skills

  1. ▌
    Lead Researcher · luanquangminh bundle
    MANDATORY entry point for ALL research tasks. Orchestrates researcher agents with configurable depth modes (low/medium/high/max). Determines languages, iterations, agent count, and sub-topics — then spawns parallel researcher agents and synthesizes results. Triggers: any research request, 'research X', 'what's the best', 'compare X vs Y', 'how should I approach', 'evaluate X', 'deep research', 'comprehensive analysis'. ALL research goes through lead-researcher first — never spawn researcher agents directly. Arguments: [mode] [topic] — e.g. 'high compare auth solutions' or 'max full ecosystem survey of MCP servers'.
    0 installs
  2. ▌
    Ccp · luanquangminh
    Use and manage ccp — the Claude Code Profile Manager. Use when: switching profiles, creating profiles, installing skills from sources, managing hub items, linking/unlinking items, setting up ccp for the first time, activating profiles per-project. Actions: switch, create, install, link, unlink, init, find, list, update profiles and hub items. Keywords: ccp use, ccp init, profile switch, hub link, source add, install skill, settings template, find skills, profile create. Casual triggers: 'switch to my dev profile', 'install a skill', 'set up ccp', 'find skills on github', 'which profile am I using', 'add this skill to my profile', 'how do I use ccp'.
    0 installs
  3. ▌
    Claude Ecosystem · luanquangminh bundle
    ALWAYS invoke this skill when the user asks about Claude Code features, configuration, extensibility, or project setup. ALWAYS invoke when the user wants to create, improve, or refine a Claude Agent Skill — including 'make this a skill', 'turn this into a skill', 'create a skill for X', or asks about SKILL.md authoring, frontmatter, description optimization, progressive disclosure, or triggering strategy. Modules: CLI tool (setup, slash commands, MCP servers, hooks, plugins, CI/CD), extensibility (agents, skills, output styles), CLAUDE.md (project instructions, optimization). Keywords: Claude Code, skill, SKILL.md, agent, hook, plugin, MCP, CLAUDE.md, skill architecture, description optimization, progressive disclosure. For skill body content quality (soul, tensions, mental models), also invoke prompt-architect. Do NOT use for general prompt engineering without a Claude Code context.
    0 installs
  4. ▌
    Research · luanquangminh bundle
    Single-agent research methodology — the search-fetch loop, query templates, GitHub patterns, and retrieval tools. Loaded by researcher agents spawned from lead-researcher. Do NOT use this skill directly for research — use lead-researcher instead, which orchestrates agents with configurable depth (low/medium/high/max). This skill is methodology, not orchestration.
    0 installs
  5. ▌
    Heavy Think · luanquangminh bundle
    Unified heavy thinking orchestrator. Classifies problem type → dispatches to the right parallel thinking pattern. Modes: brainstorm (divergent ideation), solve (verifiable answers), decompose (break complex problems), unstick (reframe blockages). All modes use parallel agents with model=opus for maximum reasoning depth, then YOU synthesize. Actions: think deeply, brainstorm, decompose, solve, unstick, analyze. Keywords: heavy think, heavy thinking, think harder, brainstorm, decompose, break down, stuck, unstick, solve, parallel thinking, multi-perspective, think about this, explore deeply, reason about, analyze deeply, heavyskill, heavy-brainstorm. Use when: user says 'heavy think', 'think harder', 'brainstorm deeply', or any problem deserving more than shallow first-pass thinking — strategic decisions, hard technical problems, complex decomposition, creative exploration, feeling stuck. Do NOT use for: simple lookups, mechanical tasks, clear next steps, tasks needing implementation not thinking.
    0 installs