Makes AI-generated content sound genuinely human — not just cleaned up, but alive. Use when content feels robotic, uses too many AI clichés, lacks personality,
Detect and set up account-locked gh aliases for multi-account GitHub. The AI reads this skill, detects accounts, asks the user which is personal/work, and runs
Manifest-driven git submodule pattern for large, optional locally-run apps: register the gitlink at a pinned SHA, defer the actual clone to a lazy helper script
Turn a Paperclip issue or request into a structured implementation plan with child task graph, blockers, owners, and acceptance criteria, then save it as the is
Interactively BUILD a new Microsoft Copilot Studio lab for the mcs-labs repo, end-to-end. Get a workshop test account, drive Playwright to the Copilot Studio Ho
Technical guide for creating a new Paperclip agent adapter. Use when building a new adapter package, adding support for a new AI coding tool (e.g. a new CLI age
Plan broad or risky Nacelle work. Use for architecture changes, migrations, release or production-readiness assessments, security hardening, performance baselin
User-invocable audit skill for detecting and surfacing AI-slop in documents and code: content that sounds AI-generated, is useless, generic, overconfident, fake
Format messages for WhatsApp, including mentions that render as real WhatsApp tags. Use when responding in a WhatsApp conversation (platformid / chatJid ends wi
OneCLI Gateway: transparent HTTPS proxy that injects stored credentials into outbound calls. You MUST use this skill when the user asks you to read emails, chec
How to handle "why did this work stop / why is this looping?" assignments. Forensics first on the named tree, surface the exact stop-point, frame the fix as a g
Develop and operate a local Paperclip instance — start and stop servers, pull updates from master, run builds and tests, manage worktrees, back up databases, an
Adds Work IQ Copilot MCP by delegating to /add-connector with api-id=shareda365copilotchatmcp and action mode. Use when users need Microsoft 365 knowledge-groun
Domain patterns for data pipeline architecture — batch processing, stream processing, ETL/ELT, DAG scheduling, data quality, schema evolution, backfill strategi