Claude Marketplaces
SkillsMCP serversMarketplacesDigestTools
Submit

This week in Claude

Every Monday: Claude Code, Agent SDK, MCP, and the Anthropic platform moves worth your time.

Skills by category
Frontend DevelopmentBackend & APIsTesting & QASecurityDevOps & CI/CDGit & Pull RequestsDocumentationCode Review & QualityAI & Agent BuildingSkill Development
MCP servers by category
Sales & MarketingWeb & Browser AutomationDatabasesAI & LLM ToolsCloud & InfrastructureCommunication & MessagingDeveloper ToolsDesign & CreativeDocuments & KnowledgeSearch & Web Crawling
Marketplaces by category
AI Agents & OrchestrationLLM IntegrationDevelopment ToolsFrontend & UIBackend & APIsDatabasesTesting & Code QualityDevOps & CloudSecurity & ComplianceGit & Version Control
Claude Marketplaces

An independent directory of skills, plugins and MCP servers for Claude Code. Not affiliated with Anthropic.

Browse

  • Skills
  • MCP servers
  • Marketplaces
  • Weekly digest
  • Skill index
  • MCP index
  • Marketplace index

Site

  • About
  • Tools
  • Submit
  • Feedback
  • Privacy
  • llms.txt
  • Plugins reference

Maker

  • Snug
  • Agent Caffeine
  • knobs
  • Wax
  • Vectoys
  • mertduzgun.com
Crafted at
Skills
anthropics avatar

Cowork Plugin Customizer

anthropics/knowledge-work-pluginsOfficial

This handles the full workflow of setting up or tweaking a Claude Code plugin for your organization's specific tools and processes. It intelligently detects whether you're configuring a fresh template (by looking for placeholder markers), making targeted changes to one section, or doing a general overhaul. The skill searches your company's Slack, docs, and email to auto-fill details like tool names and workspace IDs, then walks you through a todo list in plain language. It connects relevant MCPs for whatever tools you configure and packages everything as a ready to install .plugin file. Only works in Cowork desktop mode since it needs direct filesystem access to your mounted plugin directories.

installs
2.8K
GitHub stars
33.3K
last updated
Aug 21, 2026
View on GitHubSave

Install

$ npx -y skills add anthropics/knowledge-work-plugins --skill cowork-plugin-customizer --agent claude-code

Installs into .claude/skills of the current project.

Files

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 a commands/ directory. The Cowork UI now presents these alongside skills as a single "Skills" concept, so treat commands/*.md files the same way you would skills/*/SKILL.md files 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:

  1. Chat/Slack MCPs — tool mentions, integrations, workflow discussions
  2. Document MCPs — onboarding docs, tool guides, setup instructions
  3. 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:

  1. Placeholder replacements (generic setup): ~~Jira → Asana, ~~your-org-channel → #engineering
  2. Content updates: Modifying instructions, skills, workflows, or references to match the organization
  3. URL pattern updates: tickets.example.com/your-team/123 → app.asana.com/0/PROJECT_ID/TASK_ID
  4. Configuration 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:

  1. Search the registry: search_mcp_registry(keywords=[...]) using category keywords from references/mcp-servers.md, or search for the specific tool name if already known
  2. If unconnected: suggest_connectors(directoryUuids=["chosen-uuid"]) — user completes auth
  3. Update the plugin's MCP config file (check plugin.json for custom location, otherwise .mcp.json at 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:

  1. 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.plugin
    
  2. Present the file to the user with the .plugin extension 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 .plugin file (e.g., if the plugin directory is coder, the output file should be coder.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, Done

Then 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 locations
  • references/search-strategies.md — Knowledge MCP query patterns for finding tool names and org values
  • examples/customized-mcp.json — Example fully configured .mcp.json
SKILL.md on GitHub

Sponsors

SnugThe clipboard manager you and your agent can use, safelyAgent CaffeineClose your lid, come back to finished workWaxBlock anything with supervision, without erasing your iPhoneOpen StepsSponsoredFree and open-source skills that make AI coding agents easier to understand, verify, and control.

Details

Repository
github.com/anthropics/knowledge-work-plugins
First seen
Apr 16, 2026

More from anthropics/knowledge-work-plugins

All 198
  • Brief2.8K
  • Capacity Plan2.8K
  • Kb Article2.8K
  • Policy Lookup2.8K
  • Vendor Check2.8K
  • Pipeline Review2.8K
  • Onboarding2.8K
  • Digest2.8K
  • Journal Entry2.8K
  • Triage Nda2.8K
  • Draft Response2.7K
  • Weekly Prep Brief2.7K
  • People Report2.7K
  • Sequence Load2.7K
  • Signature Request2.7K
  • Draft Offer2.7K
  • Sox Testing2.7K
  • Contract Review2.6K
  • Scientific Problem Selection2.5K
  • Single Cell Rna Qc2.4K
  • Nextflow Development2.4K
  • Scvi Tools2.4K
  • Instrument Data To Allotrope2.4K
  • Design Mcp Workflow2.2K

Recommended

1juliusbrussee avatarcavemanjuliusbrussee/cavemanUltra-compressed communication mode. Cuts output tokens 65% (measured) by speaking like caveman while keeping full technical accuracy. Supports intensity levels594.9Kinstalls
2mattpocock avatargrill-memattpocock/skillsA relentless interview to sharpen a plan or design.1.4Minstalls
3shadcn avatarimproveshadcn/improveSurvey any codebase as a senior advisor and produce prioritized, self-contained implementation plans for OTHER models/agents to execute. Strictly read-only on s37.9Kinstalls
4obra avatarsystematic-debuggingobra/superpowersUse when encountering any bug, test failure, or unexpected behavior, before proposing fixes309.2Kinstalls
5forrestchang avatarkarpathy-guidelinesforrestchang/andrej-karpathy-skillsBehavioral guidelines to reduce common LLM coding mistakes through explicit assumptions, simplicity, and verifiable success criteria.17.9Kinstalls
6vercel-labs avatarfind-skillsvercel-labs/skillsHelps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express int4.1Minstalls