Terry Li

AI Agent Skills for GitHub Issues management - 5 comprehensive skills for searching, lifecycle management, AI-powered operations, file search, and label management

cc-skills

Reference guide for CLI-Anything: auto-generate production-ready agent-controllable CLI harnesses for any GUI app via 7-phase pipeline. Covers all validated commands, per-app examples (GIMP, Blender, LibreOffice, Inkscape), testing, and HARNESS.md methodology.

Gemini Deep Research via browser automation: Playwright CDP, 8-step flow, 40k+ char research reports

SOTA Rust tooling - refactoring, profiling, benchmarking, testing, SIMD, dependency audit

YouTube audio download and iOS device media transfer workflows

Local Kokoro TTS engine: MLX-Audio install, HTTP server, voice synthesis, health checks, diagnostics (Apple Silicon)

GitNexus knowledge graph: explore symbols, blast radius analysis, staleness detection hooks

User-global mise workflow commands: release pipeline delegation, environment status, task discovery across any repo

Gmail + Telegram bot lifecycle - email triage, interactive commands, voice digest, Agent SDK routing, 1Password OAuth

macOS iMessage database querying - decode NSAttributedString messages, search conversations, build sourced timelines from chat.db

Telegram bot + iTerm2 TTS integration: bot process control, voice audition, settings, hooks (requires kokoro-tts for engine)

Cal.com + Telegram bot lifecycle - booking management, interactive commands, scheduled sync, Agent SDK routing, 1Password API key

Google Drive API access via CLI with 1Password OAuth: list, download, sync files with multi-account support via mise environment variables

Gmail API access via CLI with 1Password OAuth: list, search, read, export emails with multi-account support via mise environment variables

RU - autonomous loop mode for any project. Commands: /ru:start, /ru:stop, /ru:status

GitHub Issues management skills: search, lifecycle, AI ops, file search, labels

Plugin and skill development: structure validation, silent failure auditing, skill architecture meta-skill with TodoWrite templates

Implement-The-Plan workflow: ADR-driven 4-phase development with preflight, implementation, formatting, and release automation

GitHub workflow automation: GFM link validation, WebFetch enforcement, issue management, fork intelligence

Comprehensive link validation: portability checks, lychee broken link detection, path policy linting

DevOps automation: ClickHouse, Doppler, MLflow, Cloudflare Workers, pueue orchestration, notifications, session recovery, MiniMax consensus analysis

Chezmoi dotfile management via natural language workflows

Comprehensive documentation: ASCII diagrams, markdown standards, LaTeX build, Pandoc PDF generation

Code quality and validation: clone detection, multi-agent E2E validation, performance profiling, schema testing

Slash command factory and calendar event management with tiered sound alarms

MQL5 development: indicator patterns, mql5.com article extraction, Python workspace, log reading

ITP workflow enforcement: Ruff Python linting, ASCII art blocking, graph-easy reminders, ADR/Spec sync, code-to-ADR traceability

Git worktree management for alpha-forge with ADR-style naming and dynamic iTerm2 tab detection

Autonomous AI orchestration with Ralph Wiggum technique - keeps AI in loop until task complete. Long-running automation, evolutionary development

iTerm2 workspace layout configuration with TOML-based separation of private paths from publishable code

Custom status line with git status indicators

Notion API integration using notion-client Python SDK - create pages, manipulate blocks, query databases with preflight credential prompting

Terminal recording automation: asciinema capture, launchd daemon for background chunking, Keychain PAT storage, Pushover notifications, cast conversion, and semantic analysis

Prescriptive git-town workflow enforcement for fork-based development: fork creation, contribution workflow, enforcement hooks that block forbidden raw git commands

Quantitative research metrics: SOTA evaluation for range bars, Sharpe ratios with daily aggregation, ML prediction quality (IC, autocorrelation), crypto-specific considerations