paperclip-api
Use when managing Paperclip AI agent companies - creating tasks, managing agents, approving hires, running heartbeats, or any…
Turn the current conversation into a PRD file in the project folder — no interview, just synthesis of what you've already discussed.
Claude Code
$ npx -y skills add serejaris/personal-corp-os --skill to-prd --agent claude-code
Codex
$ npx skills add serejaris/personal-corp-os --skill to-prd -a codex -y
Cursor
$ npx skills add serejaris/personal-corp-os --skill to-prd -a cursor -y
Gemini CLI
$ npx skills add serejaris/personal-corp-os --skill to-prd -a gemini-cli -y
GitHub Copilot
$ npx skills add serejaris/personal-corp-os --skill to-prd -a github-copilot -y
OpenCode
$ npx skills add serejaris/personal-corp-os --skill to-prd -a opencode -y
Windsurf
$ npx skills add serejaris/personal-corp-os --skill to-prd -a windsurf -y
name: to-prd description: Turn the current conversation into a PRD file in the project folder — no interview, just synthesis of what you've already discussed. disable-model-invocation: true
This skill takes the current conversation context and codebase understanding and produces a PRD. Do NOT interview the user — just synthesize what you already know.
1. Explore the repo to understand the current state of the codebase, if you haven't already. Use the project's domain glossary vocabulary throughout the PRD, and respect any ADRs in the area you're touching.
2. Sketch out the seams at which you're going to test the feature. Existing seams should be preferred to new ones. Use the highest seam possible. If new seams are needed, propose them at the highest point you can. The fewer seams across the codebase, the better - the ideal number is one.
Check with the user that these seams match their expectations.
3. Write the PRD using the template below, then save it as `PRD.md` in the root of the project folder (the folder you are working in for this demo or feature).
<prd-template>
The problem that the user is facing, from the user's perspective.
The solution to the problem, from the user's perspective.
A LONG, numbered list of user stories. Each user story should be in the format of:
1. As an <actor>, I want a <feature>, so that <benefit>
<user-story-example> 1. As a mobile bank customer, I want to see balance on my accounts, so that I can make better informed decisions about my spending </user-story-example>
This list of user stories should be extremely extensive and cover all aspects of the feature.
A list of implementation decisions that were made. This can include:
Do NOT include specific file paths or code snippets. They may end up being outdated very quickly.
Exception: if a prototype produced a snippet that encodes a decision more precisely than prose can (state machine, reducer, schema, type shape), inline it within the relevant decision and note briefly that it came from a prototype. Trim to the decision-rich parts — not a working demo, just the important bits.
A list of testing decisions that were made. Include:
A description of the things that are out of scope for this PRD.
Any further notes about the feature.
</prd-template>
Manager uses your local Manager Config for repositories and boards; the distributed skill contains no personal workspace logs.
Use when managing Paperclip AI agent companies - creating tasks, managing agents, approving hires, running heartbeats, or any…
Experimental. Daily retro from your agents' own logs: reads today's Claude Code and Codex sessions on this machine, groups them…
Orchestrate iterative visual style searches with branch prompts, decision graphs, feedback loops, and final direction selection.
Audits the agent rules in the current folder (AGENTS.md, nested AGENTS.md files) and the skill descriptions the agent sees at…
Робот агента Personal Corp. Агент делает себе голову робота из набора деталей, хранит её в штабе в stack/avatars.json и кладёт в…
Use when choosing between engines or models for an agent pipeline and the answer must come from measurement on your own data, not…
Shape output for a reader with ADHD: lead with the next action, number multi-step work, restate state across turns, suppress…
Set up the owner profile so a personal agent knows who it works for (first-run setup, \"get to know me\"), or distill colleague,…