Paste your CLAUDE.md or AGENTS.md and tell it what your agent actually did wrong. It names the rule that failed, quotes the line that should have caught it or says plainly that nothing in your file covers it, and hands you replacement text you can paste back. Built from logged incidents on a production pipeline run with a coding agent, not from general advice. With no incident it still reports what your file itself shows. It makes failures visible; it does not promise they stop.
Build review-ready Capafy Skills from idea to submission. This independent publisher assistant designs the architecture, writes SKILL.md and Agent Card content, applies sector guardrails, plans integrations and data disclosures, recommends monetization and pricing, creates test criteria and brand assets, validates the package, and prepares runtime and submission ZIPs. Not affiliated with or endorsed by Capafy.
You bring a one-line idea; Leader turns it into a goal brief an AI agent can finish alone. It researches your codebase first (commands verified, baselines measured), asks one round of at most 5 questions, then writes a ≤4,000-character brief with a path whitelist, frozen grading standard, anti-gaming acceptance commands, and resume mechanics. Execution and exploration briefs included — plus grading with hidden spot-checks when the run lands.
Create a reversible, project-local Codex copy of Claude Code agents, skills, commands, compatible hooks, MCP, and persistent GPT routing—while keeping Claude untouched.
Tell it your commands and gotchas, get a working AGENTS.md or CLAUDE.md back in the first reply. It captures fragile build steps, do-not-touch files, past mistakes and testing gotchas, marks gaps as TODOs and asks only what is missing. Ready for Claude Code, Cursor, Copilot and Codex.
9-agent S&OP system that solves supply chain, production, inventory, and financial planning problems. your books and documents via OCR, builds a searchable knowledge index with citations, then runs a 9-phase supervisor pipeline: demand forecasting, supply/capacity planning, inventory optimization, LP/MIP optimization, Monte Carlo simulation, financial reconciliation, independent verification, and full audit trails. MCP server for any LLM client, and exports to Excel and DOCX.
Helps users turn rough prompts into clear, specific, reusable prompts in different LLMs through concise critique.
Turn Excel or CSV research data into editable Origin projects, publication-ready figures, reusable templates, and QA reports.