## Thinking Path
<!--
Required. Trace your reasoning from the top of the project down to this
specific change. Start with what Paperclip is, then narrow through the
subsystem, the problem, and why this PR exists. Use blockquote style.
Aim for 5-8 steps. See CONTRIBUTING.md for full examples.
-->
> - Paperclip orchestrates AI agents for zero-human companies.
> - The plugin system is how optional capabilities extend the control
plane without adding hidden core behavior.
> - Plugin authors need accurate guidance for the current managed
capabilities model.
> - The existing docs under-described managed skills and the
routine-first pattern for durable plugin automation.
> - Content-oriented plugins such as LLM Wiki should model recurring
work with visible managed agents, projects, routines, and skills.
> - This pull request aligns the authoring guide, local development
guide, and longer plugin spec with that model.
> - The benefit is clearer plugin guidance that preserves Paperclip
visibility, budgets, pause controls, and audit trails.
## What Changed
<!-- Bullet list of concrete changes. One bullet per logical unit. -->
- Documented plugin-managed skills alongside managed agents, projects,
and routines.
- Added guidance for content-oriented plugins to use managed projects,
agents, skills, and routines instead of private daemon-like state.
- Updated the manifest/spec examples and capability lists for current
plugin-managed surfaces.
- Clarified when to use managed routines instead of plugin runtime jobs
for board-visible recurring work.
- Added a short local plugin development note pointing authors toward
routine-first automation.
- Addressed Greptile docs feedback by marking top-level `launchers` as
legacy and removing a redundant `slug` from the managed skill example.
## Verification
<!--
How can a reviewer confirm this works? Include test commands, manual
steps, or both. For UI changes, include before/after screenshots.
-->
- `git diff --check public-gh/master...HEAD`
- Reviewed `ROADMAP.md`; this is docs alignment for the completed plugin
system milestone and does not add roadmap-level core feature work.
- Greptile Review: success on the latest head; `3 files reviewed, 0
comments added` after follow-up fixes.
- GitHub PR checks are green on the latest head, including Build,
Typecheck + Release Registry, General tests, serialized server suites,
e2e, Canary Dry Run, policy, Snyk, and aggregate `verify`.
## Risks
<!--
What could go wrong? Mention migration safety, breaking changes,
behavioral shifts, or "Low risk" if genuinely minor.
-->
- Low risk: documentation-only changes.
- Main risk is documentation drift if the plugin API changes again
before these docs are reviewed.
> For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and
discuss it in `#dev` before opening the PR. Feature PRs that overlap
with planned core work may need to be redirected - check the roadmap
first. See `CONTRIBUTING.md`.
## Model Used
<!--
Required. Specify which AI model was used to produce or assist with
this change. Be as descriptive as possible - include:
• Provider and model name (e.g., Claude, GPT, Gemini, Codex)
• Exact model ID or version (e.g., claude-opus-4-6,
gpt-4-turbo-2024-04-09)
• Context window size if relevant (e.g., 1M context)
• Reasoning/thinking mode if applicable (e.g., extended thinking,
chain-of-thought)
• Any other relevant capability details (e.g., tool use, code execution)
If no AI model was used, write "None — human-authored".
-->
- OpenAI Codex, GPT-5 coding agent with shell and GitHub connector tool
use.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
---------
Co-authored-by: Paperclip <noreply@paperclip.ing>
20 KiB
Plugin Authoring Guide
This guide describes the current, implemented way to create a Paperclip plugin in this repo.
It is intentionally narrower than PLUGIN_SPEC.md. The spec includes future ideas; this guide only covers the alpha surface that exists now.
New to plugins? Start with the short Local Plugin Development guide — it walks the CLI happy path (
plugin init→pnpm dev→plugin install <path>) end to end. Come back here for the full manifest surface, worker capabilities, and UI components.
Current reality
- Treat plugin workers and plugin UI as trusted code.
- Plugin UI runs as same-origin JavaScript inside the main Paperclip app.
- Worker-side host APIs are capability-gated.
- Plugin UI is not sandboxed by manifest capabilities.
- Plugin database migrations are restricted to a host-derived plugin namespace.
- Plugin-managed surfaces are first-class records (agents, projects, routines, and skills) rather than private plugin-only state.
- Plugin-owned JSON API routes must be declared in the manifest and are mounted
only under
/api/plugins/:pluginId/api/*. - The host provides a small shared React component kit through
@paperclipai/plugin-sdk/ui; use it for common Paperclip controls before building custom versions. ctx.assetsis not supported in the current runtime.
Scaffold a plugin
Use the CLI scaffold command:
paperclipai plugin init @yourscope/plugin-name --output /absolute/path/to/plugin-repos
That creates <output>/plugin-name/ with:
src/manifest.tssrc/worker.tssrc/ui/index.tsxtests/plugin.spec.tsesbuild.config.mjsrollup.config.mjs
Inside this monorepo, the scaffold uses workspace:* for @paperclipai/plugin-sdk.
Outside this monorepo, the scaffold snapshots @paperclipai/plugin-sdk from the local Paperclip checkout into a .paperclip-sdk/ tarball so you can build and test a plugin without publishing anything to npm first. Pass --sdk-path /absolute/path/to/paperclip/packages/plugins/sdk if you have more than one Paperclip checkout.
Local development workflow
See the short Local Plugin Development guide for the full happy path (pnpm dev → paperclipai plugin install <absolute-path> → paperclipai plugin list) and reload semantics.
Minimum verification from the generated plugin folder:
pnpm install
pnpm typecheck
pnpm test
pnpm build
Supported alpha surface
Worker:
- config
- events
- jobs
- launchers
- http
- secrets
- activity
- state
- database namespace via
ctx.db - scoped JSON API routes declared with
apiRoutes - entities
- projects, project workspaces, and plugin-managed projects
- companies
- issues, comments, namespaced
plugin:<pluginKey>origins, blocker relations, checkout assertions, assignment wakeups, and orchestration summaries - agents, plugin-managed agents, and agent sessions
- plugin-managed routines
- plugin-managed skills
- goals
- data/actions
- streams
- tools
- metrics
- logger
Plugin database declarations
First-party or otherwise trusted orchestration plugins can declare:
database: {
migrationsDir: "migrations",
coreReadTables: ["issues"],
}
Required capabilities are database.namespace.migrate and
database.namespace.read; add database.namespace.write for runtime mutations.
The host derives ctx.db.namespace, runs SQL files in filename order before the
worker starts, records checksums in plugin_migrations, and rejects changed
already-applied migrations.
Migration SQL may create or alter objects only inside ctx.db.namespace. It may
reference whitelisted public core tables for foreign keys or read-only views,
but may not mutate/alter/drop/truncate public tables, create extensions,
triggers, untrusted languages, or runtime multi-statement SQL. Runtime
ctx.db.query() is restricted to SELECT; runtime ctx.db.execute() is
restricted to namespace-local INSERT, UPDATE, and DELETE.
Scoped plugin API routes
Plugins can expose JSON-only routes under their own namespace:
apiRoutes: [
{
routeKey: "initialize",
method: "POST",
path: "/issues/:issueId/smoke",
auth: "board-or-agent",
capability: "api.routes.register",
checkoutPolicy: "required-for-agent-in-progress",
companyResolution: { from: "issue", param: "issueId" },
},
]
The host resolves the plugin, checks that it is ready, enforces
api.routes.register, matches the declared method/path, resolves company access,
and applies checkout policy before dispatching to the worker's onApiRequest
handler. The worker receives sanitized headers, route params, query, parsed JSON
body, actor context, and company id. Do not use plugin routes to claim core
paths; they always remain under /api/plugins/:pluginId/api/*.
Managed Paperclip resources
Plugins that provide durable Paperclip business objects should declare them in the manifest and let the host create or relink the actual records per company. Do this for plugin-owned agents, projects, routines, and skills. Do not hide long-lived work behind private plugin state when it should be visible to the board, scoped to a company, audited, budgeted, and assigned like normal Paperclip work.
Content-oriented plugins, such as LLM Wiki-style ingestion or durable knowledge systems, should use the same pattern: managed projects for operation issues, managed agents plus managed skills for LLM work, and managed routines for ingest, lint, refresh, or maintenance runs.
Use these surfaces:
- Managed agents: declare top-level
agents[]and requireagents.managed. Use this when the plugin provides a named worker the board should see in the org, budget, pause, invoke, and inspect. Managed agents are normal Paperclip agents with plugin ownership metadata, not background plugin workers. - Managed projects: declare top-level
projects[]and requireprojects.managed. Use this when the plugin needs a stable company-scoped project for its issues, routines, or workspace-oriented UI. Keep plugin work in a project instead of scattering generated issues across unrelated projects. - Managed routines: declare top-level
routines[]and requireroutines.managed. Use this for scheduled, webhook, or manually triggered jobs that should create visible Paperclip issues. Prefer managed routines over pluginjobs[]for recurring business work; plugin jobs are for plugin runtime maintenance that does not need a board-visible task trail. - Managed skills: declare top-level
skills[]and requireskills.managed. Use this for reusable plugin capabilities that should be surfaced to operators and synced into Paperclip managed agents.
Managed resources are resolved by stable plugin keys, not hardcoded database
ids. In a worker action or data handler, call ctx.agents.managed.reconcile(),
ctx.projects.managed.reconcile(), ctx.routines.managed.reconcile(), and
ctx.skills.managed.reconcile() for
the current companyId. reconcile() creates the missing resource, relinks a
recoverable binding, or returns the existing resource. reset() reapplies the
manifest defaults when the operator wants to restore the plugin's suggested
configuration.
Declare dependencies between managed resources with refs. A routine can point
at a managed agent through assigneeRef and at a managed project through
projectRef. Reconcile the referenced agent and project before reconciling the
routine; if a ref is still missing, the routine resolution reports
missing_refs instead of guessing.
import type { PaperclipPluginManifestV1 } from "@paperclipai/plugin-sdk";
const manifest: PaperclipPluginManifestV1 = {
id: "example.research-plugin",
apiVersion: 1,
version: "0.1.0",
displayName: "Research Plugin",
description: "Creates a managed research agent and scheduled research routine.",
author: "Example",
categories: ["automation"],
capabilities: [
"agents.managed",
"projects.managed",
"routines.managed",
"skills.managed",
"instance.settings.register",
],
entrypoints: {
worker: "./dist/worker.js",
ui: "./dist/ui",
},
agents: [
{
agentKey: "researcher",
displayName: "Researcher",
role: "research",
title: "Research Agent",
capabilities: "Runs recurring research briefs for this company.",
adapterPreference: ["codex_local", "claude_local", "process"],
instructions: {
content: "Follow the Paperclip heartbeat and produce concise research briefs.",
},
},
],
projects: [
{
projectKey: "research",
displayName: "Research",
description: "Recurring research work created by the Research Plugin.",
status: "in_progress",
},
],
routines: [
{
routineKey: "weekly-brief",
title: "Weekly research brief",
description: "Create a short research brief for the board.",
assigneeRef: { resourceKind: "agent", resourceKey: "researcher" },
projectRef: { resourceKind: "project", resourceKey: "research" },
priority: "medium",
triggers: [
{
kind: "schedule",
label: "Monday morning",
cronExpression: "0 9 * * 1",
timezone: "America/Chicago",
enabled: false,
},
],
},
],
skills: [
{
skillKey: "weekly-brief-skills",
displayName: "Weekly Briefer",
description: "Reusable skill for the managed research workflow.",
},
],
ui: {
slots: [
{
type: "settingsPage",
id: "settings",
displayName: "Research",
exportName: "SettingsPage",
},
],
},
};
export default manifest;
In the worker, expose a small setup action or settings-page action that reconciles the resources for the selected company:
import { definePlugin } from "@paperclipai/plugin-sdk";
export default definePlugin({
setup(ctx) {
ctx.actions.register("setup-company", async (params) => {
const companyId = String(params.companyId ?? "");
if (!companyId) throw new Error("companyId is required");
const project = await ctx.projects.managed.reconcile("research", companyId);
const agent = await ctx.agents.managed.reconcile("researcher", companyId);
const routine = await ctx.routines.managed.reconcile("weekly-brief", companyId);
const skill = await ctx.skills.managed.reconcile("weekly-brief-skills", companyId);
return { project, agent, routine, skill };
});
},
});
Authoring rules:
- Keep keys stable once published. Renaming
agentKey,projectKey,routineKey, orskillKeycreates a new managed resource from the host's point of view. - Use managed agents for plugin-provided labor. Use
ctx.agents.invoke()orctx.agents.sessionsonly after you have a real agent id, either selected by the operator or resolved fromctx.agents.managed. - Use managed routines for recurring or externally triggered work that should produce tasks. Schedule, webhook, and API triggers are visible routine triggers, and each run has the normal Paperclip issue/audit trail.
- Use managed skills for reusable operator-visible capabilities that are shared
by managed agents. Reconcile skill declarations by
skillKeyand keep the declared skill markdown and files in sync with agent behavior. - Use managed projects to keep plugin-generated work organized and to give
project-scoped plugin UI a stable home. For filesystem access inside a
project, still resolve project workspaces through
ctx.projects. - Keep defaults conservative. Managed declarations are suggestions owned by the plugin, but the resulting resources are normal Paperclip records that the operator can inspect, pause, and adjust.
UI:
usePluginDatausePluginActionusePluginStreamusePluginToastuseHostContext- typed slot props from
@paperclipai/plugin-sdk/ui
Mount surfaces currently wired in the host include:
pagesettingsPagedashboardWidgetsidebarrouteSidebarsidebarPaneldetailTabtaskDetailViewprojectSidebarItemglobalToolbarButtontoolbarButtoncontextMenuItemcommentAnnotationcommentContextMenuItem
Shared host components
Use shared components from @paperclipai/plugin-sdk/ui when the plugin needs a
Paperclip-native control. The host owns the implementation, so plugins inherit
the board's current styling, ordering, recent selections, and dark-mode behavior
without importing ui/src internals.
Prefer shared components for common Paperclip UX patterns to reduce drift and deprecation risk, especially for task/assignment flows and routine or sidebar-like plugin screens.
Currently exposed components include:
MarkdownBlockandMarkdownEditorfor rendered and editable markdown.FileTreefor serializable file and directory trees.IssuesListfor a native company-scoped issue table.AssigneePickerfor the same agent/user selector used in the new issue pane. Use the controlledvalueformatagent:<id>,user:<id>, or"".ProjectPickerfor the same project selector used in the new issue pane. Use the controlled project id value, or""for no project.ManagedRoutinesListfor plugin-owned routine settings pages.
import { AssigneePicker, ProjectPicker } from "@paperclipai/plugin-sdk/ui";
export function PluginAssignmentControls({ companyId }: { companyId: string }) {
const [assignee, setAssignee] = useState("");
const [projectId, setProjectId] = useState("");
return (
<>
<AssigneePicker
companyId={companyId}
value={assignee}
onChange={(value) => setAssignee(value)}
/>
<ProjectPicker
companyId={companyId}
value={projectId}
onChange={setProjectId}
/>
</>
);
}
File and path UI
Plugin UI often needs to render a file tree, accept a folder path, or browse a project workspace. There are three different surfaces for that, and they map to different trust and data-flow boundaries. Pick the surface that matches the data the plugin actually has.
When to use the shared FileTree
Use FileTree from @paperclipai/plugin-sdk/ui whenever the plugin only needs
to render a serializable file/directory list and react to selection or
expand/collapse. The host owns the implementation, so plugin UI inherits the
board's icons, indent, focus ring, and dark-mode styling without importing host
internals.
import {
FileTree,
type FileTreeNode,
} from "@paperclipai/plugin-sdk/ui";
const nodes: FileTreeNode[] = [
{ name: "AGENTS.md", path: "AGENTS.md", kind: "file", children: [] },
{
name: "wiki",
path: "wiki",
kind: "dir",
children: [
{ name: "index.md", path: "wiki/index.md", kind: "file", children: [] },
],
},
];
export function WikiTree() {
const [expanded, setExpanded] = useState<Set<string>>(() => new Set(["wiki"]));
const [selected, setSelected] = useState<string | null>(null);
return (
<FileTree
nodes={nodes}
selectedFile={selected}
expandedPaths={expanded}
onSelectFile={(path) => setSelected(path)}
onToggleDir={(path) =>
setExpanded((current) => {
const next = new Set(current);
next.has(path) ? next.delete(path) : next.add(path);
return next;
})
}
/>
);
}
Good fits:
- LLM Wiki page navigation in
packages/plugins/plugin-llm-wikibuilds aFileTreeNode[]from worker query results and renders it throughFileTree. - The example
plugin-file-browser-examplelazily fetches a directory's children through aloadFileListaction whenonToggleDirfires, then merges the children into the local tree state — letting the shared component handle rendering and selection.
Boundary rules:
- Keep the prop surface serializable (
nodes,expandedPaths,checkedPaths,fileBadges,fileTones). Do not pass arbitrary render functions across the plugin/host boundary in v1; the supported escape hatches arefileBadges(status pill keyed by path) andfileTones(row tone keyed by path). - Do not import the host's
FileTree.tsxor anyui/src/*module. The SDK declaration is the only supported import path for plugin UI. - The shared
FileTreeis for rendering and selection. Plugin-specific editors, ingest flows, query forms, and lint runs stay inside the plugin and do not belong asFileTreeprops.
When to declare localFolders
When the plugin needs operator-configured filesystem roots — typically for
trusted local plugins like wiki tooling — declare localFolders[] on the
manifest and add the local.folders capability. The host renders a settings
surface for the operator to set the absolute path, validates the path
server-side (containment, symlinks, required files/directories), and exposes
ctx.localFolders.readText() and ctx.localFolders.writeTextAtomic() in the
worker.
export const manifest = {
capabilities: ["local.folders"],
localFolders: [
{
folderKey: "content-root",
displayName: "Content root",
access: "readWrite",
requiredDirectories: ["sources", "pages"],
requiredFiles: ["schema.md"],
},
],
};
Use this when:
- The data lives outside any project workspace.
- Reads and writes need company-scoped configuration.
- The operator picks the path once in plugin settings and the worker resolves files relative to that root.
Do not use localFolders to grant the UI direct browser-side access to the
filesystem — there is no such capability. The browser still goes through the
worker via getData / performAction, and the worker only exposes paths it
chose to expose.
When to keep worker-mediated project workspace browsing
When the data lives inside an existing project workspace, keep the browsing flow worker-mediated:
- The worker uses
ctx.projects.listWorkspaces()to resolve the workspace path, then reads its filesystem with normal Node APIs. - The plugin UI calls a
getDatahandler for the root listing and an action for lazy children, then renders them throughFileTree. - The worker is the only side that touches the disk. The browser receives a serializable tree and never sees raw absolute paths it can replay.
The example plugin-file-browser-example is the reference for this pattern:
the worker registers fileList (data) and loadFileList (action) over the
same handler, and the UI uses the action for on-toggle directory loading so the
shared FileTree stays the rendering surface.
Mixing surfaces
A single plugin can use more than one of these. The LLM Wiki uses
localFolders for its content root, then renders the resulting page list
through FileTree. The file browser example uses ctx.projects.listWorkspaces
to pick a workspace and renders its on-disk tree through FileTree with lazy
loading. Pick the boundary per data source, not per plugin.
Company routes
Plugins may declare a page slot with routePath to own a company route like:
/:companyPrefix/<routePath>
Rules:
routePathmust be a single lowercase slug- it cannot collide with reserved host routes
- it cannot duplicate another installed plugin page route
Publishing guidance
- Use npm packages as the deployment artifact.
- Treat repo-local example installs as a development workflow only.
- Prefer keeping plugin UI self-contained inside the package.
- Do not rely on host design-system components or undocumented app internals.
- GitHub repository installs are not a first-class workflow today. For local development, use a checked-out local path. For production, publish to npm or a private npm-compatible registry.
Verification before handoff
At minimum:
pnpm --filter <your-plugin-package> typecheck
pnpm --filter <your-plugin-package> test
pnpm --filter <your-plugin-package> build
If you changed host integration too, also run:
pnpm -r typecheck
pnpm test:run
pnpm build