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Autonomous AI Research Orchestration Engine

Orchestra-Research/AI-Research-SKILLs

This skill orchestrates end-to-end autonomous AI research projects using a sophisticated two-loop architecture. It manages the entire research lifecycle, from initial literature review and hypothesis formation to running constrained experiments and synthesizing findings into publishable papers. It acts as a project manager, autonomously driving the process while structuring the workspace and presenting progress to human users.

RecallMax Memory Engine

sickn33/antigravity-awesome-skills

RecallMax supercharges AI agents by injecting 500K–1M clean tokens, adaptively summarizing each turn, compressing history, and verifying facts so long conversations stay coherent without hallucinations.

Tool Use Reliability Guard

tool-use-guardian

sickn33/antigravity-awesome-skills

Intelligent reliability wrapper that monitors agent tool calls, retries failures, heals malformed responses, and checkpoint-resumes interrupted chains so your workflows recover automatically without hand-coded retry logic.

AI Engineering Toolkit

ai-engineering-toolkit

sickn33/antigravity-awesome-skills

Provides six structured AI engineering workflows—from prompt evaluation and context budgeting to RAG architecture, security audits, evaluation harnesses, and product sense coaching—ensuring repeatable, CI/CD-friendly decisions before deployment.

Autonomous Review Loop

auto-review-loop

wanshuiyin/Auto-claude-code-research-in-sleep

Autonomously orchestrates multi-round research reviews via Codex MCP: review, implement fixes, and re-review until the reviewer declares the work ready or the max rounds expire. Logs progress, maintains compact/recoverable state, and optionally adds human checkpoints for iterative improvement requests.

Autonomous Review Loop

auto-review-loop-llm

wanshuiyin/Auto-claude-code-research-in-sleep

Orchestrates iterative research review, fix, and re-review cycles with OpenAI-compatible LLMs, persisting reviewer state and documentation until approval or max rounds.

MiniMax Review Loop

auto-review-loop-minimax

wanshuiyin/Auto-claude-code-research-in-sleep

Autonomous loop that submits research context to MiniMax-M2.7, parses reviewer feedback, and iterates through fixes until a positive assessment or max rounds is reached, using compact state persistence for long runs.

AI-Powered Web Testing

awt-e2e-testing

sickn33/antigravity-awesome-skills

This AI-powered skill lets coding assistants execute Playwright-based end-to-end scenarios defined in YAML, using OpenCV/OCR visual matching, platform auto-detection, and failure diagnosis with a learning database to improve tests.

Claude DevFleet Orchestration

claude-devfleet

affaan-m/everything-claude-code

Coordinates multiple Claude Code agents across isolated git worktrees to plan, dispatch, monitor, and report on multi-agent coding missions via Claude DevFleet for complex engineering projects.

API Enumeration Detection

detecting-api-enumeration-attacks

mukul975/Anthropic-Cybersecurity-Skills

Detects API enumeration attacks such as BOLA and IDOR by monitoring sequential or tampered object identifiers, analyzing authorization failures, and alerting on abnormal request patterns across gateways and SIEMs.

AI BEC Detection System

detecting-business-email-compromise-with-ai

mukul975/Anthropic-Cybersecurity-Skills

Deploys AI and NLP-powered detection to spot business email compromise by analyzing writing style, behavioral context, and intent, then integrates baselines, transformer models, and response workflows to surface impersonation attempts that rule-based filters miss.

UEBA Insider Threat Detection

detecting-insider-threat-with-ueba

mukul975/Anthropic-Cybersecurity-Skills

Use Elasticsearch-powered UEBA to model baselines from authentication, file, and network logs, score deviations, and flag insider threat indicators for SOC investigation workflows.

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