Agent Failure Recovery Protocol
A structured recovery framework to stop agent loops, handle malformed output, and manage autonomous error escalation.
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THE AGENSI STORE
357 skills found
A structured recovery framework to stop agent loops, handle malformed output, and manage autonomous error escalation.
by Nex AI
Generate a JSON-backed, agent-callable task CLI with recurrence and prefix-ID matching.
by Joker
Video type matrix, platform specs, AI prompt recipes (Seedance/Sora/Kling), zero-cost SOP, quality gates.
You changed the prompt, tried four inputs, it looked better, you shipped — and three days later support tickets say outputs are worse for an entire class of inputs you didn't test
Cost-aware execution planning for AI agents — estimate cost-vs-value before expensive steps, propose cheaper paths (cache, summarize once, downshift models), and track spend against a session budget with a PROCEED / OPTIMIZE / DEFER verdict.
by Nex AI
Canonical Next.js bridge for secure, real-time communication between browser UIs and local agent gateways.
by Nex AI
Production-ready Claude API integration with dual-model routing, token tracking, and resilient retry logic.
by Nex AI
Scaffold a multi-model 6-step pipeline to automatically turn prospect URLs into live, branded demo websites.
Before an agent acts on a plan, verify that the things it named actually exist. Checks each referenced file path, function or method, import or package, environment variable, and CLI command against your repo, and flags the ones that do not resolve. Catches the hallucinated function and the phantom package before the edit, not after the build breaks. Resolves Python and JavaScript/TypeScript.
Scaffold and audit secure MCP servers with input schemas, confirmation gates, and safety-first tool definitions.
Professional X/Twitter automation for AI agents: Post, monitor, extract data, and manage engagement via 99 API endpoints.
Define spending rules for your AI agent — caps, category whitelists, approval thresholds — and audit what it bought or almost bought, with an approve/hold/block verdict per transaction.
Find the model-version coupling that breaks when you swap LLMs. Flags hardcoded model names and versions, deprecated or renamed parameters (the max_tokens to max_completion_tokens class of change), hardcoded token and context-window limits, response-format parsing tied to one model's output, tool-schema format coupling between providers, and hardcoded per-token cost constants. The patterns load from an editable model-rules table you update as new models ship.
The hard part of multi-agent work isn't spawning agents — it's deciding what deserves parallelism, what each agent needs to not duplicate work, and how failures cascade
Audit your online store to ensure it is discoverable and purchasable by autonomous AI shopping agents.
by openfate ai
Deterministic Bazi / Four Pillars skill using OpenFate MCP for True Solar Time, Ten Gods, Da Yun, and branch interactions.
The default MCP server is an API wrapper that dumps forty endpoint-shaped tools on the model and hopes — and the model gets confused, picks the wrong tool, and produces garbage that looks like a tool call
by Joker
Workflow type routing (text2img/img2img/video), node selection tree, VRAM optimization, quality gates.
by Nex AI
The complete Nex Prompt Booster Chrome extension (real shipped Manifest V3 source): turn short, lazy AI prompts into detailed, structured, expert-quality prompts instantly, right inside ChatGPT, Claude, Gemini, Perplexity and Grok, with no API calls. Ships the full extension plus the dev loop, customization guide, and Web Store packaging steps. No build step.
by S0lidByte
Master orchestrator that routes engineering tasks to 18 specialized AI skills with persistent project context.
by Corey Jacobs
Convert loose prompt sets into structured, target-ready records with variables, contracts, and eval cases.
by Corey Jacobs
Five compact skills for artifact intake, preflight review, test planning, session handoff, and local tool-candidate inspection.
Transform fragile AI prototypes into resilient, enterprise-ready production agents with professional hardening tools.
Design, diagnose, and optimize high-performance RAG systems with an engineering-first framework.