Foundational-Agent-Skills

A QA gate that validates potentially destructive or irreversible actions before execution.

Detect and prevent state-visibility violations across execution contexts within a single transaction.

Convert mixed terminal output and instructions into safe, paste-ready command blocks.

Prepares isolated sub-workspaces for parallel agent execution. Copies context and generates specific mission instructions for "Worker" agents.

Structured logging and analysis of execution failures to prevent recurrence.

Detects when the agent is stuck in a reasoning loop or unproductive state by analyzing tool usage and sentiment patterns.

Generates a 'Red Team' critique of recent code or plans to identify weak assumptions and edge cases.

Analyzes failures or user requests to automatically scaffold new skills, ensuring structural evolution.

Generate comprehensive workspace profile with git signals, build configs, and forensics completeness tracking. Foundation skill for all other workspace operations.

Automates running the Ethereum Execution Layer Specification (EELS) tests against a local EVM implementation. Handles venv setup, execution, and result parsing.

Safely renames a .NET project (solution, projects, namespaces, directories) from one name to another. Supports Planned (clean) and Recovery (dirty) modes.

Detects drift between multiple git repositories (e.g. forks, mirrors, or multi-module projects). Generates a drift report and optionally applies sync actions.

Removes ignored build artifacts (bin, obj, node_modules) to reclaim space and fix ghost build errors. Safely respects .gitignore.

Updates standardized intent files (NEXT.md, STATE.json) to maintain context across agent sessions.

Wraps command execution in a self-healing loop. Uses heuristics to auto-fix common errors (missing deps, locked files) or escalates to the Agent with structured error context.

Enforces a structural planning phase before execution. Generates and validates PLAN.json to ensure every task has a clear objective, steps, verification method, and rollback strategy.

Optimize information density by filtering workspace files based on relevance to the current task. Excludes high-noise files (lockfiles, assets) and prioritizes source code matching semantic queries.

Enables mid-stream course correction by monitoring a FEEDBACK.md file for user interventions. Allows the agent to incorporate new instructions without restarting the task.

Rapidly ingest documentation via the /llms.txt standard to gain "fast-track" understanding of libraries without scraping entire sites.

Generate comprehensive dependency graphs to identify "single-points-of-failure" and impact analysis chains.

Generate optimized scripts that utilize the specific hardware (cores, GPU, OS) of the execution environment.

Identify duplicate files across the workspace using SHA256 hashing to reduce redundancy and confusion.

Create or update .gitignore files by fetching standard templates from the GitHub/gitignore repository.

Provides a Model Context Protocol (MCP) server interface to the skills library, allowing any MCP-compliant agent (e.g. Claude Desktop) to invoke Antigravity skills as native tools.