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Found 253 Skills
Analyze a project's past Codex sessions, memory files, and existing local skills to recommend the highest-value skills to create or update. Use when a user asks what skills a project needs, wants skill ideas grounded in real project history, wants an audit of current project-local skills, or wants recommendations for updating stale or incomplete skills instead of creating duplicates.
Agent skill for swarm-issue - invoke with $agent-swarm-issue
Agent skill for reviewer - invoke with $agent-reviewer
Active HODLMM position manager that monitors bin drift, estimates accrued fees, and re-centers liquidity around the active bin when profitable.
Official Dailybot agent skill pack — report progress, check messages, send emails, and announce agent status. Routes to the right sub-skill based on intent. Use when the developer mentions Dailybot or wants to interact with their team.
Build a complete design system from scratch with creative risks and realistic product mockups. Useful for kickoff workshops and brand-from-zero work.
AI creative director with recursive self-assessment: 20+ methodologies (SIT, TRIZ, Bisociation, SCAMPER, Synectics), 3-axis evaluation calibrated against Cannes/D&AD/HumanKind, 5-phase process from brief to presentation.
Enables Claude to search Booking.com for hotels, considering city, dates, price, neighborhoods, and preferred chains (including all brands). It also outputs the hotel's direct website link.
Analyze recent conversation context and capture learnings to project knowledge files (for project-specific insights) or skills/commands/subagents (for cross-project patterns). Use when the user asks to "capture this learning", "update the docs with this", "remember this for next time", "document this issue", "add this to CLAUDE.md", "save this knowledge", or "update project knowledge". Also triggers after resolving build/setup issues, discovering non-obvious patterns, or completing debugging sessions with valuable insights.
Use this skill when the user asks about current events, real-time information, recent news, live scores, financial data, price updates, recent changes, or any question that may require up-to-date web information. This skill first determines if web search is necessary using Gemini, then attempts Google Search Grounding via Gemini, and automatically falls back to Tavily if any failure occurs.
Inline adversarial plan review — 3 sequential checks (Feasibility, Completeness, Scope & Alignment) performed by the calling LLM in its own context. No subagents spawned. Call after saving a plan. Returns GATE_PASS or GATE_FAIL with blocking issues.
Update documentation based on lessons learned. Use after completing work to capture learnings and prevent future issues.