Plugins

Session analytics — CAPTURE (headless behavioral artifact collection), INSPECT (structured data extraction; parses JSONL in isolated context), REVIEW (behavioral anti-pattern diagnosis via `tp-critic` w/ lens), ISSUE (sanitized GitHub issue reporting; `tp-critic` w/ lens for privacy scrub), CROSS-ANALYZE (parallel multi-perspective analysis), ADJUDICATE (evidence + adversarial validation). Six modes; the 4 deleted `session-*` agents collapsed into `tp-critic` / `tp-explorer` per-mode.

Search, query, ingest, and verify a personal wiki, knowledge base, or notes system. Use when user mentions 'wiki', 'KB', 'knowledge base', 'look up in my notes', 'find in my wiki', 'lint wiki', 'check wiki consistency', 'add to wiki', 'ingest into wiki', or 'populate wiki'. QUERY dispatches the read-only `wiki-searcher` subagent; INGEST and LINT run inline in the hub against the resolved wiki path (with optional `tp-critic` w/ lens 'wiki audit' for large wikis).

Cross-plugin integration.

Systematic analysis of TPU pretraining efficiency. profile-anatomy: schema + reference scripts for xplane.pb / trace.json.gz. comm-analysis: per-axis NCCL bus BW, peak ICI utilization, and per-step compute/comm overlap. compute-breakdown: source-line aggregation, layer scoping, non-compute audit, v7x roofline shortfall. memory-profile: HBM peak occupancy, alive-buffer attribution, lifetime/shape/tf_op/parent_jit rollups.

Exposes Trabuco CLI functionality (architecture advice, module catalog, scaffolding, doctor, 14-phase legacy-project migration) as Claude Code skills + subagents, grounded in Trabuco's opinionated Java conventions.

Agent execution tracing — timeline, token/cost tracking, replay, and diff for multi-agent observability

from JudgmentLabs/judgeval-claude-plugin

from bennoloeffler/maude-claude-vunds-plugins

Local-first personal observability for Claude Code — token usage, cost, tool usage, daily reports. Hooks capture session/tool/prompt data, transcript parser extracts token/cost.

Ship the thinnest end-to-end slice through a system first, then widen it in place — for both software delivery and open-ended investigation/research. Use when scoping new work, de-risking unknowns, or planning how to explore an unfamiliar problem before committing to a full build.

Authority, requirements, and traceability controls for agentic engineering. Repackages the selected Compound Engineering method with systems-engineering authority: requirement quality review, no-orphan traceability checks, root requirements and matrix bootstrap, advisory controlled automation, and dark-behavior routing before planning, implementation, review, and release claims.

Evidence-backed daily, weekly, and monthly reports for agent work.

Query Tracy .tracy captures: hotspots, zone stats, capture info, compare two captures.

Two-sided trade evaluation, league-wide trade finding, and counteroffer reasoning.

Run and narrate the Rajistics trade operations agent demo

面向中国商标申请的类别规划、可注册性初筛及申请材料准备技能

Trading Bot workflows for guarded actions across supported onchain adapters.

Broker integration for algorithmic trading in Python: Interactive Brokers via the TWS API and ib_async across equities, options, futures, FX, CFDs and crypto (per-class contracts and market rules, order types and TIF/fill-mode capability resolution, brackets in depth, a classified catalog of all 458 published TWS message codes, venue-behaviour verification tooling, reconnection resilience, deployment on Windows, Linux, macOS and Docker), MetaTrader 5 via the official synchronous API (polling-based event systems, order execution with fill modes, historical data, the aiomql async framework, a ZeroMQ bridge, Windows production deployment), and the vendor-neutral vocabulary shared between them: five access archetypes, the single-broker/multi-broker-platform axis, a reference order-lifecycle state machine, session and recovery patterns, and a six-rank evidence ladder with provenance tags for what a claim about a venue is worth

TradingDesk — Multi-Agent LLM Financial Trading Framework for agentic coding CLIs: Copilot CLI, Claude Code, Codex (re-implementation of TauricResearch/TradingAgents)

Trading Mechanics: what the outcome evidence actually shows about retail trading, market microstructure, orders and execution, the asset classes, derivatives, technical analysis assessed honestly, quantitative and factor approaches, swing and day trading, real versus apparent arbitrage, forex, DeFi mechanics, risk and position sizing, costs and frictions, backtesting pitfalls, psychology and harm, and regulation and tax. A mechanics reference, not investment advice or a strategy.

67 trading, DeFi, and quantitative finance Agent Skills. Market data APIs, on-chain analysis, backtesting, risk management, execution, tax compliance, and more.

Backtest trading strategies with historical data, performance metrics, and risk analysis

한국 주식 트레이딩 도구 모음. 키움증권 REST API를 통한 주식 데이터 조회/매매, OpenDART를 통한 기업 공시/재무제표 조회를 지원합니다.

from jkoelker/zephyr

Substanz Edition v2.1 — 4 analysts + 13 famous-investor personas + bull/bear debate + trader + risk manager. 41 MCP tools: DCF/Kelly/ATR/Sharpe + v2.1 layers (FRED macro, congress trades, 13F holdings, options flow, Finnhub analyst recs/earnings calendar, FMP earnings transcripts, PRAW Reddit, FinBERT sentiment, vectorbt backtests, empyrical risk metrics, mlfinlab labels). Includes backtester + read-only Next.js dashboard.

Deploy, configure, and troubleshoot Traefik v3 reverse proxy — covers all providers, routing, TLS/ACME, middlewares, and production patterns with YAML examples. Load when setting up or debugging a Traefik instance.

Discover and compare Trakt.tv trending, popular, and anticipated movies and shows from the terminal. Do not use this skill for TMDb catalog metadata, credits, images, or provider lookups; use the tmdb skill for those tasks.

Quality-first multi-speaker transcription on Apple Silicon — an on-device ffmpeg/Whisper/pyannote pipeline plus parallel Opus deliverables (verbatim clean transcript, minutes, quoted facts, personas, todos). Generic: all domain knowledge comes from user-provided context. Command: /transcribe

Transcribe spoken-word audio from YouTube, Shorts, Instagram, TikTok, and Threads. YouTube captions fetched directly (fast, no model). Falls through to local mlx-whisper on Apple Silicon, with a headless-Playwright fallback for Threads.

from bfreis/claude-mart