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Found 337 Skills
This skill should be used when the user asks to "analyze session", "세션 분석", "evaluate skill execution", "스킬 실행 검증", "check session logs", "로그 분석", provides a session ID with a skill path, or wants to verify that a skill executed correctly in a past session. Post-hoc analysis of Claude Code sessions to validate skill/agent/hook behavior against SKILL.md specifications.
AI-powered web research assistant that leverages BrowserAct API to supplement restricted web access by searching the internet for additional information. Designed for OpenClaw and Claude Code.
Manage Claude Code agent skills using the `asc` CLI tool. Use this skill when: (1) Listing available skills: "asc skills list", "what skills are available", "show me asc skills" (2) Installing skills: "asc skills install --name asc-cli", "install all skills", "add asc skills to my agent" (3) Viewing installed skills: "asc skills installed", "what skills do I have", "show my installed skills" (4) Removing a skill: "asc skills uninstall --name asc-auth", "remove a skill" (5) Checking for skill updates: "asc skills check", "are my skills up to date" (6) Updating skills: "asc skills update", "update my asc skills" (7) User asks "how do I install asc skills", "set up asc CLI skills", or "get the latest asc skills" (8) Troubleshooting skill installation or update issues (npx, skills CLI)
Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.
Evaluate and improve skills through measured testing. Run trigger evaluations to test whether skill descriptions cause correct activation, optimize descriptions via automated train/test loops, benchmark skill output quality with A/B comparisons, and validate skill structure. Use when user says "improve skill", "test skill triggers", "optimize description", "benchmark skill", "eval skill", or "skill quality". Do NOT use for creating new skills (use skill-creator-engineer).
Optimizer that refines and professionalizes AI agent skills through real usage — saves tokens, eliminates redundancy, and tightens instructions so skills cost less to run. Learns from mistakes, reviews quality, and improves over time. Observes skill execution in the current conversation, analyzes up to four sources (conversation friction, file diffs, user feedback, static diagnostic) plus accumulated lessons, and proposes concrete improvements to the target skill's SKILL.md. Works with Claude Code and compatible SKILL.md-based agent frameworks. Use after executing any skill: `/skill-optimizer [name]` or `/skill-optimizer` to auto-detect. `--review` processes accumulated lessons.
Generate editorial-quality HTML+SVG diagrams (13 types) for blog posts and documentation using Claude Code, with brand-matched styling and no external dependencies.
Install and configure a Claude Code status line that displays real-time ZenMux account information: subscription tier, 5-hour and 7-day quota usage with color-coded progress bars, and PAYG wallet balance, alongside standard session info (model, git, context usage, prompt cache). Trigger on: "status line", "statusline", "set up status bar", "show ZenMux in status bar", "install ZenMux statusline", "configure status line with ZenMux", "状态栏", "配置状态栏", "安装状态栏", "在状态栏显示ZenMux信息". Activate when user wants to SET UP, INSTALL, CONFIGURE, or CUSTOMIZE a Claude Code status line that includes ZenMux account data. Do NOT trigger for querying usage interactively (use zenmux-usage), docs (use zenmux-context), or general setup (use zenmux-setup).
Show what happened in recent past sessions on this project. Use when user asks "what did we do last time", "session history", "past sessions", or wants an overview of previous work.
Walk through a complete GAIA benchmark→submit flow — from key resolution through HAL-compatible package generation
Index directory for automatically learned skills from execution feedback
The agentmemory plugin hooks that capture observations automatically across the agent session lifecycle. Use when explaining how memory gets captured without manual saves, when debugging missing observations, or when tuning what gets recorded.