Loop Me
by mattpocockc55ee46073edNo licenseListed Oct 8, 2026Updated Oct 8, 2026
Grill me about specs for the workflows I want to build, within this workspace.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| agents/openai.yaml | 140 B | application/yaml |
| SKILL.md | 2.5 KB | text/markdown |
Source and attribution
Source:mattpocock/skillsinskills/in-progress/loop-meat commitc55ee46
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
More from mattpocock/skills
Chief Of Staff
mattpocock
Coordinates subagents and schedules to pursue a long-running goal in one session.
Writing For Agents
mattpocock
A reference on writing documents that AI agents consume, such as skills, AGENTS.md and CLAUDE.md files.
Wait What
mattpocock
Re-pitches a confusing message using Simplified Technical English and the project's ubiquitous language.
To Questionnaire
mattpocock
Turns a decision the user cannot answer alone into a Markdown questionnaire for someone else to fill in.
Teach
mattpocock
Teaches a user a topic over multiple sessions, producing HTML lessons, reference sheets and learning records in a workspace.
Handoff
mattpocock
Compacts the current conversation into a handoff document so a fresh agent can continue the work.
More in AI & Agents
Skill Development
anthropics
Guides creation of Claude Code plugin skills, covering structure, descriptions, progressive disclosure and validation.
Plugin Structure
anthropics
Guides the structure, manifest, and component layout of Claude Code plugins.
Command Development
anthropics
Guides creation of Claude Code slash commands, covering structure, YAML frontmatter, arguments and plugin features.
Claude Md Improver
anthropics
Audits CLAUDE.md files in a repository, scores their quality, and applies approved targeted improvements.
Google Cloud Solution Agentic Ai Data Science Workflow
Guides design of a multi-product agentic data science architecture on Google Cloud, from requirements to deployment and validation.
Google Cloud Solution Agentic Ai Borderless Data Lakehouse
Guides design of a borderless multicloud open data lakehouse on Google Cloud, from requirements discovery to deployment and validation.