NEAR AI
Official@nearai · United States of America
Offers structured project management, code quality assurance, and cross-chain DeFi portfolio rebalancing through integrated repository and commitment tracking.
Agent Skills by NEAR AI
Showing 54 vetted skills indexed across 1 GitHub repositories.
nearaireborn-feature
Implements WebUI features and trigger automation behavior in the Reborn Rust stack.
nearaireborn-extension-surfaces
Guides adding tool, channel, and auth surfaces to Reborn extension manifests.
nearairailway-test
Runs exact-head browser acceptance tests on Railway PR previews and publishes evidence comments.
nearaiironclaw-reborn-orientation
Maps IronClaw repository architecture, crate ownership, and request flow for developer navigation.
nearaiironclaw-reborn-architecture-review
Reviews Rust crate changes for trait justification, dependency boundaries, and composition-layer placement.
nearaiironclaw-reborn-testing
Guides test tier selection and conventions for Reborn behavior testing in Rust.
nearaithermo-nuclear-code-quality-review
Reviews code changes for structural quality, abstraction design, and maintainability regressions.
nearaiceo-setup
Configures an executive commitment-tracking project with scheduled triage missions and dashboard widgets.
nearaiparallel-pr-review
Reviews batches of GitHub pull requests by fanning out parallel review subagents and synthesizing verdicts.
nearaicode-review
Reviews local git diffs or GitHub pull requests for bugs, security issues, and missing tests.
nearaitrader-setup
Configures a commitment-tracking workspace with position-aware alerts and trade journaling for financial traders.
nearaiweb-ui-test
Tests the IronClaw web gateway UI via the Claude for Chrome browser extension.
nearainew-project
Creates autonomous project workspaces with AGENTS.md, context, goals, and recurring missions.
nearaiproject-setup
Registers GitHub repositories as tracked projects and installs workflow automation missions.
nearaigithub
Interacts with the GitHub REST API via HTTP calls with automatic credential injection.
nearaideveloper-setup
Configures developer workflow with GitHub missions, commitment tracking, and calibration memories.
nearaiplan-mode
Creates structured execution plans as memory documents and tracks progress via mission-driven checklists.
nearaillm-council
Query multiple LLM models in parallel and synthesize their responses.
nearaiportfolio
Scans cross-chain DeFi wallets and generates rebalancing proposals as unsigned NEAR Intents.
nearaigithub-workflow
Installs event-driven and cron missions automating GitHub issue-to-merge workflows.
nearaicontent-creator-setup
Configures a commitment-tracking workspace with content pipeline stages, trend expiration, and scheduled missions for creators.
nearaicommitment-setup
Creates the commitments tracking workspace structure and installs triage and digest missions.
nearaimintlify
Create MDX documentation sites using Mintlify conventions and CLI validation.
nearaicommit
Generate git commit messages from staged changes with secret checks.
Frequently Asked Questions About NEAR AI
FAQPage SchemaWhat specific tasks can I perform using NEAR AI?▼
You can manage GitHub repositories, track technical debt, audit code for security vulnerabilities, and generate DeFi rebalancing proposals. Additionally, the system enables structured commitment tracking, project workspace initialization, and consensus-based querying across multiple models.
Who is the target persona for these technical capabilities?▼
The platform is designed for software engineers, technical project managers, and DeFi participants. It serves developers needing automated PR reviews and security audits, as well as product leads requiring structured tracking for commitments, deadlines, and technical debt backlogs.
What are the prerequisites for integrating these project management features?▼
Integration requires active GitHub repository access and configuration of project workspaces. Users must define commitment schemas and triage missions to enable the extraction of obligations and deadlines from natural language inputs.