polymarket-cross-sectional-momentum

Same-session deep-verification methodology. Chain-of-Verification with Saboteur / New Hire / Security Auditor personas. For gate-level cross-model verification that writes the prosecution doc, use /verify — which uses this skill's methodology as its payload.

End-to-end orchestrator for building a trading executor from data collection through live deployment. Use when the user asks to build an executor, create a new strategy, implement a trading system, or says 'build me an executor for X'. Also use when resuming an in-progress executor build — the skill reads the executor directory to determine current stage and picks up where it left off. Covers the full lifecycle: data collection, scoring, strategy promotion, and live deployment. Cross-model `/verify` is the single gate at PROMOTE and LIVE. This skill should be used for ANY new executor work in this repo, even partial tasks like 'add scoring to my executor' or 'wire up live mode'.

Launch Anthropic Claude as an independent agent for code review, verification, and reasoning. Uses the claude CLI with full file system access, or the API for pure reasoning tasks. Primarily for teams whose primary agent is Codex or Gemini and want a Claude read on the work.

Set up or repair codecontext adoption in a project. Use this whenever the user wants to add @context annotations to a repo, install the codecontext toolchain, update AGENTS.md guidance, improve agent workflows around decision capture, or audit whether an existing codecontext setup is coherent. Prefer this skill over vague "document the tool" work: it is specifically for making a repo actually usable with codecontext.

Launch OpenAI Codex/GPT as an independent agent for code review, verification, and precision analysis. Uses the codex CLI with full file system access, or the API for pure reasoning tasks.

Create and maintain executor strategy overview presentations. Use when scaffolding a new executor, updating strategy documentation, or when the QA check requires a strategy-overview.marp.md file. Generates Marp slide decks with codePaths tracking for CI enforcement.

Launch Gemini as an independent agent for codebase analysis, planning, and large-context synthesis. Uses the gemini CLI with full file system access.

Plan and file goals and feature issues through conversation. Use when the user wants to create goals, plan features, file issues, or discuss what to build next.

Run one governed strategy research/promotion cycle. Use this whenever the user asks to run autoresearch, improve a strategy config, evaluate a challenger, or do a governed research round. The skill enforces a hard separation between research configs (agents may modify) and promoted configs (require explicit human approval to change).

Walk through the experiment grading rubric for one variant and update its frontmatter + Reading + Change Log. Use when asked to 'grade this experiment', 'update the grade', 'what grade is this', 'score this variant', 're-grade', or whenever an experiment doc needs its grade/confidence/expectancy updated. Also use proactively when you notice an experiment doc's grade is missing, stale, or contradicts its evidence.

File feedback, goals, feature requests, integration requests, rough DX notes, and bugs against any recallnet repo with GitHub CLI. Use this skill proactively whenever work reveals reusable package gaps, template/tooling gaps, API friction, missing integrations, unclear docs, or legitimate bugs. Do not wait until the end of the session; file the issue while working.

Install, find, update, and manage agent skills. Use when the user wants to add a new skill, search for skills that do something, check if skills are up to date, or update existing skills. Triggers on: install skill, add skill, get skill, find skill, search skill, update skill, check skills, list skills.

Guide for creating new workspace packages in the skunkworks template. Use when building a new reusable library, extracting shared logic from an executor, creating a venue interface, building a testing utility, or any time you're about to put reusable code in packages/. Also use when the user says 'create a package', 'extract this into a package', 'build a library for X', or when you notice executor code that should be shared. Encourages high test coverage, clean API surfaces, and the skunk- naming convention for future TradeCore promotion.

Commit with inline learning capture for Recall Labs projects.

Bootstrap or audit agent-focused repository docs using Recall's canonical repo-docs governance profile. Init mode scaffolds the canonical docs structure, AGENTS.md, and AGENT-LEARNINGS.md, populates first-pass canonical docs from existing repo sources, and aligns repo docs to the canonical structure. When a Node-compatible package-manager path exists, init also installs and runs the docs governance preset for deterministic lint enforcement. Audit mode performs higher-order advisory checks above deterministic docs lint.

Verify that a trading strategy's claimed performance is real — not inflated by derived data, replay bugs, synthetic depth, or statistical artifacts. Use when scoring a variant before promotion, when results look too good (win rate >85%, zero losses, impossibly high Sharpe), when the operator asks 'is this real?', or on-demand during autoresearch loops to filter noise from signal. Also use proactively after any pnpm score run that will inform a go-live decision. This skill is the skeptic in the room — it assumes the scores are wrong until proven otherwise.

Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Supports both basic forecasting and advanced covariate forecasting (XReg) with dynamic and static exogenous variables. Automatically checks system RAM/GPU before loading the model, validates dataset fit before processing, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model and handle your specific dataset.

Retroactively audit an existing trading executor against every gate, error class, and adversarial check defined in /build-executor. Use when the user asks to "audit my executor", "check for trade-path bugs", "find violations of the new gates", "retrofit my executor with safety checks", "review live/paper code for known bug classes", or when an executor predates the current gate system and needs to catch up. Finds real bugs in already-written code — not a forward-looking build guide. Produces a severity-ranked findings report with file:line citations and fix recommendations.

Discover TradeCore packages, what they own, whether they are publishable or private, how to install the publishable ones, and where to look for exports, examples, and tests. Use this whenever an agent or developer needs to know which `@recallnet/*` package already solves a problem, which package is the canonical home for a concept, or how to install a TradeCore package in another repo.

Canonical failure-oriented venue integration guidance for TradeCore-supported venues. Use this whenever an agent is building, debugging, or extending a venue integration; sizing orders; parsing websocket messages; handling fills; or triaging venue error responses for Polymarket, Kalshi, Limitless, or Hyperliquid.

Guide for integrating a new trading venue into an executor when TradeCore doesn't support it yet. Use when the build-executor skill needs a venue that isn't in tradecore-venues, when the user says 'add support for X venue', 'integrate X exchange', 'connect to X protocol', or when you discover the executor needs a venue that has no existing @recallnet/* package. This skill helps you figure out what KIND of venue it is, architect the right abstraction, build it as a promotable skunk- package, and wire it into the executor with proper branded types and human-assisted credential setup.

Gate-level cross-model verification. Picks a reviewer from a different model family than the implementing agent, hands it an in-repo skill as its checklist, records findings in the strategy's prosecution doc, and closes the fix-and-re-review loop before returning a verdict.

Bring a legacy or out-of-date skunkworks executor repo up to the current template standard. Use this skill whenever: you're asked to 'upgrade', 'modernize', 'sync with template', 'bring up to speed', 'add gates', or 'skunkworksify' a repo that was originally forked or cloned from skunkworks-template but has fallen behind on infrastructure. This skill upgrades harnessing and tooling only — it never touches strategy code, scoring logic, venue integrations, or executor business logic.