By terrylica
Quantitative research metrics: SOTA evaluation for range bars, Sharpe ratios with daily aggregation, ML prediction quality (IC, autocorrelation), crypto-specific considerations
Adaptive epoch selection for Walk-Forward Optimization. TRIGGERS - WFO epoch, epoch selection, WFE optimization, overfitting epochs.
backtesting.py configuration for SQL oracle validation and range bar pattern backtesting. Use when running backtesting.py against.
Multi-objective evolutionary optimization for per-metric percentile cutoffs and intersection-based config selection.
DST-aware exchange session detection using exchange_calendars. Holiday & lunch break handling. TRIGGERS - exchange session, trading hours
Investigate why ODB bars are oversized, have zero duration, or show anomalous price ranges by forensically analyzing Parquet.
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Claude Code Skills Marketplace: Meta-skills, foundational tools, and self-revising autonomous-loop primitives for Claude Code.
Generated from
.claude-plugin/marketplace.json(the SSoT). Runbun scripts/validate-plugins.mjsto verify the table reflects reality.
| Plugin | Description | Category |
|---|---|---|
| agent-reach | Give your AI agent eyes to see the entire internet. Search and read 15+ platforms with auto-update preflight: Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, Douyin, Weibo, WeChat, Xiaoyuzhou Podcast, LinkedIn, V2EX, RSS, Exa web search. | productivity |
| asciinema-tools | Terminal recording automation: asciinema capture, launchd daemon for background chunking, Keychain PAT storage, Pushover notifications, cast conversion, and semantic analysis | utilities |
| calcom-commander | Cal.com + Telegram bot lifecycle - booking management, interactive commands, scheduled sync, Agent SDK routing, 1Password API key | productivity |
| claude-tts-companion | Real-time karaoke subtitles synced with TTS playback — unified macOS accessory app replacing telegram-bot + kokoro-tts-server + subtitle prototype | productivity |
| cli-anything | 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. | development |
| crucible | Self-evolving research methodology: 18 universal principles for LLM-driven investigation, distilled from a 376-turn session with 1 positive + 17 null campaigns. | ai |
| devops-tools | DevOps automation: ClickHouse, Doppler, MLflow, Cloudflare Workers, pueue orchestration, notifications, session recovery, MiniMax consensus analysis | devops |
| doc-tools | Comprehensive documentation tooling: ASCII diagrams, markdown standards, LaTeX build, Pandoc PDF, glossary management, plotext financial charts | documentation |
| dotfiles-tools | Chezmoi dotfile management via natural language workflows | utilities |
| floating-clock | macOS floating clock overlay with profile-based aesthetics, controlled via SwiftBar control center | utilities |
| gemini-deep-research | Run Gemini Deep Research via browser automation (claude-in-chrome MCP). Submit prompts, monitor progress, retrieve final reports. | research |
npx claudepluginhub terrylica/cc-skills --plugin quant-researchCode quality and validation: clone detection, multi-agent E2E validation, performance profiling, schema testing
ITP workflow enforcement: Ruff Python linting, ASCII art blocking, graph-easy reminders, ADR/Spec sync, code-to-ADR traceability
Slash command factory and calendar event management with tiered sound alarms
Gemini Deep Research via browser automation: Playwright CDP, 8-step flow, 40k+ char research reports
Prescriptive git-town workflow enforcement for fork-based development: fork creation, contribution workflow, enforcement hooks that block forbidden raw git commands
Quantitative analysis, algorithmic trading strategies, financial modeling, portfolio risk management, and backtesting
Skill for developing and validating quantitative trading strategies with historical performance analysis and backtesting frameworks.
Mine, evaluate, backtest, benchmark, and report on quantitative alpha factors with the FactorMiner research engine
Finance research, trading, risk, and portfolio Agent Skills grounded in LLMQuant Data. Bundles every llmquant-* category skill under skills/.
67 trading, DeFi, and quantitative finance Agent Skills. Market data APIs, on-chain analysis, backtesting, risk management, execution, tax compliance, and more.
Multi-agent cryptocurrency intelligence system with 7 specialized AI agents, 9 MCP servers (95 tools), cognitive learning, and self-evolving capabilities for comprehensive market analysis and paper trading.