Spiral Agent Core
by Sir Benjamin
Enforce human-AI alignment and ownership through structured collaboration checkpoints and real-time syncratude scoring.
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THE AGENSI STORE
484 skills found
by Sir Benjamin
Enforce human-AI alignment and ownership through structured collaboration checkpoints and real-time syncratude scoring.
by Sir Benjamin
Eliminate context drift and enhance depth with a multi-layered active reasoning framework for agents.
by Rapa Canola
Local, SQLite-backed cross-session memory for agents to store and retrieve lessons, decisions, and facts via FTS5.
Establish a disciplined, issue-driven agentic operating model with automated tracking and strategic human-in-the-loop.
by Shippers
Optimize task execution by intelligently dispatching work to parallel subagents with ready-to-paste prompts.
by Rapa Canola
Async task delegation for AI agents via shared folders—perfect for cross-OS and remote worker coordination.
by Shandra
Audits AI agent failures and converts recurring mistakes into durable rules, anti-patterns, regression tests, memory candidates, and improved SKILL.md sections.
Transform Grok into a local-first coding agent that writes, edits, and verifies files directly in your workspace.
Maintain strategic coherence across long coding sessions using Claude Code's native memory and task systems.
Force your AI agent to minimize token usage (-70% token usage across multiple scenarios), batch commands, and eliminate conversational filler for faster, cheaper ops.
Transform raw video files into structured JSON and Markdown reports with local character detection and transcription.
by Ilia Malkin
Diagnose and fix Windows-specific AI coding agent failures across shells, paths, WSL, locks, ports, and CRLF diffs.
Quickstart guide to connect your AI agent to the Agensi marketplace via Model Context Protocol (MCP).
by Sir Benjamin
A high-performance ethical guardrail and IP protection layer for safeguarding AI reasoning and core logic.
Professional audit trails, decision tracking, and human-in-the-loop safety for autonomous AI agent teams.
by Roy Yuen
Standardize agent collaboration with high-density mission packets, strict authority boundaries, and return contracts.
Drive a browser from your agent without the token bloat. Batches navigate/click/type into one call, stays logged in with persistent sessions, and feeds the model compact DOM snapshots instead of giant HTML, so multi-step flows like logins, form-filling, and scraping behind auth stay fast and cheap. Runs on the uBrowser MCP server.
Reliable, health-gated autonomous operations for agents in restricted or sandboxed terminal environments.
by LocoLoboZ
Automate Google NotebookLM research workflows, source ingestion, and study material generation via CLI and Python.
by Sir Benjamin
A helical iteration engine using the ± operator to balance broad creative discovery with precise technical refinement.
Create a reviewable coding-agent handoff from current repository state, resume from the newest handoff with a drift check, or reconstruct one from transcript cues when no handoff exists.
by Matthew King
Audit, score, and improve your AI agent skills for higher quality, lower token costs, better reliability, and marketplace success. Get actionable recommendations for prompts, instructions, tool usage, error handling, and user experience.
by LocoLoboZ
Orchestrate independent reviews, adversarial audits, and multimodal analysis via secondary models and external tools.
Lint your AGENTS.md (or CLAUDE.md and .cursorrules) for the problems that make a coding agent misbehave. Flags contradictory rules, references to files and commands that no longer exist, overly broad or unsafe instructions, missing sections (build, test, run, conventions), duplicate rules, and the case where you have competing rule files that should be consolidated into one AGENTS.md.