Multi Agent Orchestration Architect
by SkillForge
Architect production-grade multi-agent systems with explicit contracts, idempotency, and self-healing reliability.
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THE AGENSI STORE
976 skills found
by SkillForge
Architect production-grade multi-agent systems with explicit contracts, idempotency, and self-healing reliability.
A professional technical editor's review for your docs. Catches missing context, unclear writing, and unverifiable claims in READMEs, API docs, and changelogs before they ship — with a PASS/REVISE verdict and a prioritized fix list.
Professional fine-art documentation assistant for creating collector dossiers, archive records, and gallery previews.
by J. Shtal
Catches the database migrations that lock tables or lose data — before they hit production.
by Timoranjes
Build production-grade React Native apps with native primitives, optimized lists, and type-safe navigation.
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.
Architectural strategist that converts flat prompts into structured, multi-file ChatGPT Skill blueprints.
Rewrite dense legal, medical, technical, policy, or financial text into clear plain language at a target reading level — with the meaning fully preserved. A professional plain-language rewrite, not a summary or a list of flags.
by Boubacar B
Claude defaults to complex. This skill does not let that happen. Before your session ships a 400-line solution to a 20-line problem, the simplicity filter stops it and asks: does this actually need to be this complex?
Generate consistent API reference docs from your code, OpenAPI spec, or route handlers — per-endpoint parameters, real request and response examples, error codes, auth, and copy-pasteable curl, written for the developer calling the API.
Generate a complete, reader-ready README from your code and project details — not a template dump. It leads with what the project is and why, gives a quickstart that actually runs, and includes only the sections that apply.
Turn your diffs and commit history into commit messages, PR descriptions, and release notes that reviewers and users actually read. One skill, three jobs — conventional-commit compliant, reviewer-ready, and written in plain language.
by Shandra
Creates phased modernization plans for transforming monolithic applications into modular monoliths, service-oriented systems, or microservice-ready architectures without risky rewrites.
Automate the complete deployment of Astro projects on Cloudflare Pages: configuration, CI/CD with GitHub Actions, edge functions, SSL domains, and SSR error resolution.
Detect and fix reverse-engineering risks in your prompt and digital product listings.
by Al1as
Transform underperforming offers into premium recovery systems and strategic prompt pack products.
Adversarially audit your agent hooks before you trust them. Catches command injection, secret leakage, over-broad matchers, destructive actions, and blocking-logic mistakes in pre/post-tool-use, prompt, and stop hooks — with a PASS or REVISE verdict and severity-ranked fixes.
by Timoranjes
Teaches AI coding agents to implement production-grade structured logging, error handling, and observability from the first line of code. For developers deploying agent-built services who are tired of debugging black boxes.
Forensic diagnostic tool that audits prompts and AI products for commercial failure and structural weaknesses.
Turn timeline fragments, Slack logs, and pager history into a complete blameless postmortem — impact summary, clean timeline, contributing factors instead of a scapegoat, action items with owners and due dates, and lessons that survive the week.
by Shandra
Tests AI agents, prompts, and agent skills against edge cases, unsafe behavior, output failures, permission risks, escalation gaps, memory leaks, and marketplace-quality weaknesses.
Find the code that quietly runs up your LLM bill: uncapped generations, model calls looping with no limit, an expensive model doing a trivial job, and whole files stuffed into prompts. Read-only, every finding explained in plain English.
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.