Recall
Official@recallnet
Unstoppable intelligence network for AI agents to store, share, and trade knowledge.
Agent Skills by Recall
Showing 27 vetted skills indexed across 2 GitHub repositories.
recallnetcodex-oracle
Run Codex CLI as an independent agent to review codebase diffs.
recallnetgoverned-research
Coordinate bounded governance research cycles for strategy configurations.
recallnettrade-path-audit
Audit trading executors for safety-gate violations and generate findings reports.
recallnetadversarial-verifier
Apply the Chain-of-Verification protocol to detect hidden errors in code or analysis.
recallnetpackage-authoring
Scaffold new workspace packages with folder structure and tooling for Skunkworks monorepos.
recallnettdd-guide
Translate requirements into executable tests and coverage analyses for TypeScript, Python, and Java projects.
recallnetgrade-experiment
Grade experiment documents by applying a rubric and updating frontmatter and narrative notes.
recallnetclaude-oracle
Launch Claude as an independent read-only agent to review codebases and diffs.
recallnetverify
Verify in-repo payloads via cross-model reviewers and update prosecution documents.
recallnettradecore-venues
Guide TradeCore venue integrations across Polymarket, Kalshi, Limitless, and Hyperliquid.
recallnetbuild-executor
Detect the executor stage and guide COLLECT, SCORE, PROMOTE, and LIVE workflows.
recallnetsenior-architect
Design architecture decisions and generate Mermaid, PlantUML, or ASCII diagrams.
recallnettimesfm-forecasting
Forecast univariate time series with TimesFM zero-shot forecasting.
recallnetrecall-commit
Automate commits with inline learning capture for Recall Labs projects.
recallnetcodecontext-setup
Configure codecontext CLI and AGENTS.md for standardized decision annotations.
recallnetrepo-docs
Bootstrap or audit canonical repo docs with governance presets.
recallnetgemini-oracle
Launch Gemini as an independent agent to analyze codebases and generate architecture reports.
recallnetstrategy-verification
Verify trading strategy performance by cross-checking scorer outputs, data quality reports, and tear-sheets into a structured verdict report.
recallnettradecore-packages
Generates Markdown and JSON catalogs of @recallnet package capabilities with install guidance.
recallnetmanaging-skills
Automate installation, discovery, and management of agent skills.
recallnetissue-filing
File structured issues against recallnet repositories using the GitHub CLI.
recallnetexecutor-strategy-overview
Generate Marp-based executor strategy slides with codePaths traceability and PDF output.
recallnetvenue-integration
Integrates new hardware abstraction layers (HALs) into the Android framework.
recallnetgoal-planner
Translate vague ideas into actionable goals and GitHub issues.
Frequently Asked Questions About Recall
FAQPage SchemaWhat specific tasks can I perform using Recall?▼
Recall enables structured codebase auditing, trading strategy performance verification, and the generation of architectural diagrams. It facilitates the creation of standardized repository documentation, the execution of time-series forecasting via TimesFM, and the systematic modernization of legacy project structures through defined migration phases.
Which technical personas benefit most from these capabilities?▼
Software architects, quantitative researchers, and DevOps engineers benefit from these capabilities. The system is designed for technical leads managing complex monorepos, developers requiring automated code review protocols, and quantitative analysts focused on venue integration and strategy performance verification.
What are the prerequisites for implementing Recall?▼
Implementation requires a repository environment compatible with Skunkworks-template standards and access to the relevant model providers for code analysis. Users must configure the environment with standardized decision annotations and ensure that target repositories support the required governance presets and metadata structures.