terrylica
terrylica/cc-skills
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/terrylica/cc-skills --skill analyze命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
user wants to create a macOS Calendar event with sound alarms and paired Reminders, schedule a meeting, RSVP to an invitation, or set reminders.
Park a draft message/text in macOS Notes for the operator to review and edit, then read it back before acting (e.g. before sending to a real person). Notes is the source of truth (AppleScript CRUD, iCloud-synced, provenance-stamped with the Claude Code session UUID); Stickies is a best-effort view-only desktop mirror. Use whenever you draft something a human should confirm/edit before it is sent or committed — messages, replies, announcements, anything outbound. TRIGGERS - park this draft, park the message, hold this draft, let me edit first, draft for my approval, save to notes for review, read back the draft.
Programmatic Firecrawl usage via the public API, academic paper routing, recursive deep research, and raw corpus persistence.
基于 SOC 职业分类
正在显示 SKILL.md
| name | analyze |
| description | Semantic analysis of converted recordings. TRIGGERS - analyze cast, keyword extraction, find patterns. |
| allowed-tools | Bash, Grep, AskUserQuestion, Read |
| argument-hint | [file] [-d domains] [-t type] [--json] [--md] [--density] [--jump] |
Run semantic analysis on converted .txt recordings.
Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.
| Argument | Description |
|---|---|
file | Path to .txt file |
-d, --domains | Domains: trading,ml,dev,claude |
-t, --type | Type: curated, auto, full, density |
--json | Output in JSON format |
--md | Save as markdown report |
--density | Include density analysis |
--jump | Jump to peak section after analysis |
Invoke the asciinema-analyzer skill with user-selected options.
file provided -> skip Phase 1 (file selection)-t provided -> skip Phase 2 (analysis type)-d provided -> skip Phase 3 (domain selection)--json/--md provided -> skip Phase 6 (report format)--jump provided -> auto-execute jump after analysis# Quick curated analysis for trading domain
/asciinema-tools:analyze session.txt -d trading -t curated
# Full analysis with density and JSON output
/asciinema-tools:analyze session.txt -t full --density --json
# Auto keyword discovery with markdown report
/asciinema-tools:analyze session.txt -t auto --md
| Issue | Cause | Solution |
|---|---|---|
| ripgrep not found | Not installed | brew install ripgrep |
| YAKE not available | Python package missing | uv pip install yake |
| No keywords found | Wrong domain or sparse content | Try -t auto for discovery |
After this skill completes, check before closing:
Only update if the issue is real and reproducible — not speculative.