Cowork Plugin Customizer
AnthropicOfficialPublished by Anthropic
- Skill
- Workflow
- Agent tooling
- Apache-2.0
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The Cowork Plugin Customizer streamlines the process of tailoring plugins to fit an organization's specific tools and operational habits. It handles both generic template setup—replacing placeholders with real values—and scoped modifications to existing plugin logic. The skill integrates with internal knowledge sources to automatically identify relevant tools and configurations, manages the connection of necessary MCP servers, and packages the final plugin for immediate use.
What it does
- Locates and analyzes plugin source files within the Cowork desktop environment.
- Identifies and replaces placeholder values with organization-specific data.
- Searches internal documentation and chat history to discover tool usage and team conventions.
- Configures and connects required MCP servers to enable plugin functionality.
- Packages customized plugins into ready-to-install .plugin files.
- Provides a summary of learned organizational context and active integrations.
When to use it
- When setting up a new plugin from a template containing placeholders.
- When you need to adjust specific plugin connectors or skill configurations.
- When you want to tailor an existing plugin to match your team's specific tools and workflows.
- When you need to update plugin configuration values like project IDs or team channels.
Advantages
- Reduces manual configuration effort by automating discovery of organizational settings.
- Ensures consistent plugin setup by leveraging internal knowledge sources.
- Simplifies the integration of necessary tools through automated MCP server connection.
- Provides a clean, user-friendly packaging process for immediate plugin deployment.
Usage examples
- “Customize the Jira plugin for our team.”
- The agent will locate the plugin, identify necessary configuration points, search for your Jira project details, and update the plugin to match your team's workflow.
- “Tweak the standup skill to use our #eng-updates channel.”
- The agent will focus specifically on the standup skill files, update the channel reference, and ensure any required communication MCPs are connected.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/anthropics/cowork-plugin-customizer/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip cowork-plugin-customizer.zip -d .agents/skills
Documentation by Anthropic
Cowork Plugin Customization
Customize a plugin for a specific organization — either by setting up a generic plugin template for the first time, or by tweaking and refining an already-configured plugin.
Finding the plugin: To find the plugin's source files, run
find mnt/.local-plugins mnt/.plugins -type d -name "*<plugin-name>*"to locate the plugin directory, then read its files to understand its structure before making changes. If you cannot find the plugin directory, the user is likely running this conversation in a remote container. Abort and let them know: "Customizing plugins is currently only available in the desktop app's Cowork mode."
Determining the Customization Mode
After locating the plugin, check for ~~-prefixed placeholders: grep -rn '~~\w' /path/to/plugin --include='*.md' --include='*.json'
Default rule: If
~~placeholders exist, default to Generic plugin setup unless the user explicitly asks to customize a specific part of the plugin.
1. Generic plugin setup — The plugin contains ~~-prefixed placeholders. These are customization points in a template that need to be replaced with real values (e.g., ~~Jira → Asana, ~~your-team-channel → #engineering).
2. Scoped customization — No ~~ placeholders exist, and the user asked to customize a specific part of the plugin (e.g., "customize the connectors", "update the standup skill", "change the ticket tool"). Read the plugin files to find the relevant section(s) and focus only on those. Do not scan the entire plugin or present unrelated customization items.
Legacy
commands/directories: Some plugins include acommands/directory. The Cowork UI now presents these alongside skills as a single "Skills" concept, so treatcommands/*.mdfiles the same way you wouldskills/*/SKILL.mdfiles when customizing.
3. General customization — No ~~ placeholders exist, and the user wants to modify the plugin broadly. Read the plugin's files to understand its current configuration, then ask the user what they'd like to change.
Important: Never change the name of the plugin or skill being customized. Do not rename directories, files, or the plugin/skill name fields.
Nontechnical output: All user-facing output (todo list items, questions, summaries) must be written in plain, nontechnical language. Never mention
~~prefixes, placeholders, or customization points to the user. Frame everything in terms of the plugin's capabilities and the organization's tools.
Customization Workflow
Phase 0: Gather User Intent (scoped and general customization only)
For scoped customization and general customization (not generic plugin setup), check whether the user provided free-form context alongside their request (e.g., "customize the standup skill — we do async standups in #eng-updates every morning").
If the user provided context: Record it and use it to pre-fill answers in Phase 3 — skip asking questions that the user already answered here.
If the user did not provide context: Ask a single open-ended question using AskUserQuestion before proceeding. Tailor the question to what they asked to customize — e.g., "What changes do you have in mind for the brief skill?" or "What would you like to change about how this plugin works?" Keep it short and specific to their request.
Use their response (if any) as additional context throughout the remaining phases.
Phase 1: Gather Context from Knowledge MCPs
Use company-internal knowledge MCPs to collect information relevant to the customization scope. See references/search-strategies.md for detailed query patterns by category.
What to gather (scope to what's relevant):
Tool names and services the organization uses
Organizational processes and workflows
Team conventions (naming, statuses, estimation scales)
Configuration values (workspace IDs, project names, team identifiers)
Sources to search:
Chat/Slack MCPs — tool mentions, integrations, workflow discussions
Document MCPs — onboarding docs, tool guides, setup instructions
Email MCPs — license notifications, admin emails, setup invitations
Record all findings for use in Phase 3.
Phase 2: Create Todo List
Build a todo list of changes to make, scoped appropriately:
For scoped customization: Only include items related to the specific section the user asked about.
For generic plugin setup: Run
grep -rn '~~\w' /path/to/plugin --include='*.md' --include='*.json'to find all placeholder customization points. Group them by theme.For general customization: Read the plugin files, understand the current config, and based on the user's request, identify what needs to change.
Use user-friendly descriptions that focus on the plugin's purpose:
Good: "Learn how standup prep works at Company"
Bad: "Replace placeholders in skills/standup-prep/SKILL.md"
Phase 3: Complete Todo Items
Work through each item using context from Phase 0 and Phase 1.
If the user's free-form input (Phase 0) or knowledge MCPs (Phase 1) provided a clear answer: Apply directly without confirmation.
Otherwise: Use AskUserQuestion. Don't assume "industry standard" defaults are correct — if neither the user's input nor knowledge MCPs provided a specific answer, ask. Note: AskUserQuestion always includes a Skip button and a free-text input box for custom answers, so do not include None or Other as options.
Types of changes:
Placeholder replacements (generic setup):
~~Jira→Asana,~~your-org-channel→#engineeringContent updates: Modifying instructions, skills, workflows, or references to match the organization
URL pattern updates:
tickets.example.com/your-team/123→app.asana.com/0/PROJECT_ID/TASK_IDConfiguration values: Workspace IDs, project names, team identifiers
If user doesn't know or skips, leave the value unchanged (or the ~~-prefixed placeholder, for generic setup).
Phase 4: Search for Useful MCPs
After customization items have been resolved, connect MCPs for any tools that were identified or changed. See references/mcp-servers.md for the full workflow, category-to-keywords mapping, and config file format.
For each tool identified during customization:
Search the registry:
search_mcp_registry(keywords=[...])using category keywords fromreferences/mcp-servers.md, or search for the specific tool name if already knownIf unconnected:
suggest_connectors(directoryUuids=["chosen-uuid"])— user completes authUpdate the plugin's MCP config file (check
plugin.jsonfor custom location, otherwise.mcp.jsonat root)
Collect all MCP results and present them together in the summary output (see below) — don't present MCPs one at a time during this phase.
Packaging the Plugin
After all customizations are applied, package the plugin as a .plugin file for the user:
Zip the plugin directory (excluding
setup/since it's no longer needed):cd /path/to/plugin && zip -r /tmp/plugin-name.plugin . -x "setup/*" && cp /tmp/plugin-name.plugin /path/to/outputs/plugin-name.pluginPresent the file to the user with the
.pluginextension so they can install it directly. (Presenting the .plugin file will show to the user as a rich preview where they can look through the plugin files, and they can accept the customization by pressing a button.)
Important: Always create the zip in
/tmp/first, then copy to the outputs folder. Writing directly to the outputs folder may fail due to permissions and leave behind temporary files.
Naming: Use the original plugin directory name for the
.pluginfile (e.g., if the plugin directory iscoder, the output file should becoder.plugin). Do not rename the plugin or its files during customization — only replace placeholder values and update content.
Summary Output
After customization, present the user with a summary of what was learned grouped by source. Always include the MCPs sections showing which MCPs were connected during setup and which ones the user should still connect:
## From searching Slack
- You use Asana for project management
- Sprint cycles are 2 weeks
## From searching documents
- Story points use T-shirt sizes
## From your answers
- Ticket statuses are: Backlog, In Progress, In Review, DoneThen present the MCPs that were connected during setup and any that the user should still connect, with instructions on how to connect them.
If no knowledge MCPs were available in Phase 1, and the user had to answer at least one question manually, include a note at the end:
By the way, connecting sources like Slack or Microsoft Teams would let me find answers automatically next time you customize a plugin.
Additional Resources
references/mcp-servers.md— MCP discovery workflow, category-to-keywords mapping, config file locationsreferences/search-strategies.md— Knowledge MCP query patterns for finding tool names and org valuesexamples/customized-mcp.json— Example fully configured.mcp.json
Files
- ATTRIBUTION.mdAdded by AutoGineer1.0 KiB
- LICENSE.txt11.1 KiB
- SKILL.md9.5 KiB
- examples/customized-mcp.json853 B
- references/mcp-servers.md3.1 KiB
- references/search-strategies.md1.6 KiB
references/mcp-servers.md
MCP Discovery and Connection
How to find and connect MCPs during plugin customization.
Available Tools
search_mcp_registry
Search the MCP directory for available connectors.
Input: { "keywords": ["array", "of", "search", "terms"] }
Output: Up to 10 results, each with:
name: MCP display namedescription: One-liner descriptiontools: List of tool names the MCP providesurl: MCP endpoint URL (use this in.mcp.json)directoryUuid: UUID for use with suggest_connectorsconnected: Boolean - whether user has this MCP connected
suggest_connectors
Display Connect buttons to let users install/connect MCPs.
Input: { "directoryUuids": ["uuid1", "uuid2"] }
Output: Renders UI with Connect buttons for each MCP
Category-to-Keywords Mapping
| Category | Search Keywords |
|---|---|
project-management | ["asana", "jira", "linear", "monday", "tasks"] |
software-coding | ["github", "gitlab", "bitbucket", "code"] |
chat | ["slack", "teams", "discord"] |
documents | ["google docs", "notion", "confluence"] |
calendar | ["google calendar", "calendar"] |
email | ["gmail", "outlook", "email"] |
design-graphics | ["figma", "sketch", "design"] |
analytics-bi | ["datadog", "grafana", "analytics"] |
crm | ["salesforce", "hubspot", "crm"] |
wiki-knowledge-base | ["notion", "confluence", "outline", "wiki"] |
data-warehouse | ["bigquery", "snowflake", "redshift"] |
conversation-intelligence | ["gong", "chorus", "call recording"] |
Workflow
Find customization point: Look for
~~-prefixed values (e.g.,~~Jira)Check earlier phase findings: Did you already learn which tool they use?
Yes: Search for that specific tool to get its
url, skip to step 5No: Continue to step 3
Search: Call
search_mcp_registrywith mapped keywordsPresent choices and ask user: Show all results, ask which they use
Connect if needed: If not connected, call
suggest_connectorsUpdate MCP config: Add config using the
urlfrom search results
Updating Plugin MCP Configuration
Finding the Config File
Check
plugin.jsonfor anmcpServersfield:{ "name": "my-plugin", "mcpServers": "./config/servers.json" }If present, edit the file at that path.
If no
mcpServersfield, use.mcp.jsonat the plugin root (default).If
mcpServerspoints only to.mcpbfiles (bundled servers), create a new.mcp.jsonat the plugin root.
Config File Format
Both wrapped and unwrapped formats are supported:
{
"mcpServers": {
"github": {
"type": "http",
"url": "https://api.githubcopilot.com/mcp/"
}
}
}Use the url field from search_mcp_registry results.
Directory Entries Without a URL
Some directory entries have no url because the endpoint is dynamic — the admin provides it when connecting the server. These servers can still be referenced in the plugin's MCP config by name: if the MCP server name in the config matches the directory entry name, it is treated the same as a URL match.
Requirements and compatibility
Written for: Claude Code, Claude apps
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Names Claude Code tools
The author says: Requires Cowork desktop app environment with access to mounted plugin directories (mnt/.local-plugins, mnt/.plugins).
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Published by
- Anthropic
- Publisher
- Anthropic (Official)
- Source
- anthropics/knowledge-work-plugins · cowork-plugin-management/skills/cowork-plugin-customizer · commit e050c2e
- Licence
- Apache License 2.0 (redistribution allowed)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Anthropic or Anthropic.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download cowork-plugin-customizer.zip