Agent Handoff Contract
Stop fragile agent chains with structured, versioned, and idempotent handoff contracts for multi-agent systems.
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THE AGENSI STORE
631 skills found
Stop fragile agent chains with structured, versioned, and idempotent handoff contracts for multi-agent systems.
Force your AI agent to apply senior-level architectural judgment and design notes before writing any code.
A skill that enables AI coding agents to maintain context across session boundaries. When a coding session reaches its token limit, this skill saves the full state — files in progress, decisions made,
Write and review the docs AI agents actually read — AGENTS.md for your repo and llms.txt for your site. Drafts them from scratch or audits existing ones for completeness, clarity, and wasted context, with a PASS or REVISE verdict.
Design and write the eval suite for your LLM-powered feature — the metrics that match your failure modes, a golden dataset plan with starter cases, anchored rubrics, LLM-as-judge prompts with the known bias mitigations, and pass/fail gates wired for CI.
Developers waste time re-explaining their project to AI agents every session.
Creates phased modernization plans for transforming monolithic applications into modular monoliths, service-oriented systems, or microservice-ready architectures without risky rewrites.
Diagnose RAG bottlenecks with precision metrics (Recall, MRR, nDCG) to identify retrieval or ranking failures.
Convert a repeatable workflow into a reusable agent skill or staged skillchain candidate.
CLI-driven browser automation for AI agents to handle JS-rendering, sessions, and complex web workflows.
Evidence-backed validation framework for AI agents, Cursor skills, MCP orchestrations, subagent graphs, hooks, and agentic repos — before deployment, not after.
Architect reusable AI behavior presets with rigorous rules, activation phrases, and defined output structures.
Teaches AI coding agents to intelligently insert affiliate links and product recommendations into generated content. Handles Amazon Associates, Impact, ShareASale, and other major affiliate networks.
Designs controlled multi-agent workflows with clear roles, contracts, validation gates, approval steps, memory boundaries, audit trails, error handling, and fallback behavior.
Tests AI agents, prompts, and agent skills against edge cases, unsafe behavior, output failures, permission risks, escalation gaps, memory leaks, and marketplace-quality weaknesses.
Turn long, messy threads into structured context packs for seamless session handoffs.
Discovers and ranks internal enterprise processes that can become custom agent skills, with ROI estimates, governance needs, and pilot roadmaps.
Audits your Claude Code project setup and flags what's broken, misconfigured, or risky. With ready-to-paste fixes.
Generate a coordinated five-agent system with skeletons and handoff logic for any professional niche.
Write the delegation brief that lets a background or async agent succeed unattended — precise goal, hard constraints, testable acceptance criteria, a verification plan, and stop-and-escalate rules. Turns "go fix the flaky tests" into a spec an agent can actually execute.
Turn generic, crowded AI agent ideas into sharp, differentiated marketplace products with specific buyer problems.
Audit AI/LLM spend across OpenAI, Anthropic, AWS Bedrock, Azure. Find waste, project runway, FinOps report. Free scripts.
Model what your LLM app or agent will cost, find where the money goes, and get a plan to cut it. Per-request and monthly projections, ranked cost drivers, an optimization plan with estimated savings, and unit economics against your pricing — with the arithmetic shown.