Turn a user request into a Paperclip case with workflow instructions and an initial agent. Start the case, document its workflow with a state diagram and transition explanations, and return links to the case and primary task.
Create and kick off a Paperclip case from a user request, with workflow instructions and an initial agent.
create-case turns your request into a Paperclip case, sets up its workflow instructions, assigns the first agent, and starts the case. The workflow document includes a Mermaid stateDiagram-v2 diagram and written explanations of how the case moves between states. When finished, it returns links to the case and its primary task, along with the accepted kickoff state.
Use it when you want to register a request in Paperclip and prepare it so an agent can begin working. It also helps when you want documentation of the states that work can pass through and the transitions between them. The case setup and workflow documentation are handled together.
Your environment must provide access to skills/paperclip/references/cases.md, the Paperclip case creation guide. Case creation uses native create_case or the equivalent REST functionality documented in that guide.
This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.
AI rated this skill on four points using only the contents of its SKILL.md. Stars and popularity are not taken into account.
The total counts each point as A = 25, B = 15, C = 5. Rated by AI (OpenAI Codex) as of Oct 21, 2026. Treat it as a guide and read the original before installing.
Review the instructions the agent will receive before you install.
Read the case instructions
before acting. If this skill is installed outside the checkout, locate the
Paperclip repository and read skills/paperclip/references/cases.md there.
Follow that guide to create and kick off the user's case using native
create_case or its documented REST equivalent. Include a Mermaid
stateDiagram-v2 map and prose explaining the transitions in the workflow document.
Return the case and primary task links, together with the accepted kickoff state.
No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Add or extend Paperclip end-to-end evaluations that exercise real browser workflows across the server, database, and runner. Define expected outcomes, check independent evidence, and connect results to the existing reporting pipeline for local or Daytona execution.
Add or extend Paperclip Runner evaluations that test real sessions against a mock control service. Define observable pass conditions, validate cases and run selections, and retain source revisions, evidence, and costs for authorized live runs.
Use a real browser to verify web pages and apps through short, supervised interactions. Capture screenshots, inspect errors and network requests, and document reproducible steps for UI bugs or expected behavior checks.
Read email linked to assigned Paperclip tasks, send new messages or replies through an assigned AgentMail inbox, and check delivery outcomes. Follow task permissions and preserve retry identifiers to avoid duplicate sends.
Inspect proposed changes in GitHub, GitLab, or Perforce for review feedback, failed automated checks, and incomplete descriptions. It separates actionable findings from informational or resolved comments, then helps fix issues and close addressed review threads when requested.
Create an AI agent company or team package from an idea or an existing repository. Define roles, reporting lines, skills, and work handoffs, then generate structured files that follow the Agent Companies specification.