CCM
/Skills
SkillsMCPMarketplacesDigestToolsAdvertise

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 Code Marketplaces

Discover Claude Code plugins, extensions, and tools. Automatically updated directory of Anthropic Claude AI marketplaces with development tools, productivity plugins, and integrations.

Resources

  • Browse Skills
  • Browse MCP Servers
  • Browse Marketplaces
  • Skill index
  • MCP index
  • Marketplace index
  • Plugins Reference

Community

  • About
  • Tools
  • Feedback
  • Privacy Policy
  • Advertise

Built for the Claude Code community with Claude Code by mertbuilds.com

Independent project, not affiliated with Anthropic
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
inference shell
inference shell
create and run specialised agents in minutes
build now →
Slot openReach developers building with Claude Code.
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Slot openReach developers building with Claude Code.
CodeRabbitCapacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shell
CodeRabbitCapacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shell
CodeRabbitCapacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shell
CodeRabbitCapacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shell
CodeRabbitCapacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shell
CodeRabbitCapacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shell
CodeRabbitCapacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shell
CodeRabbitCapacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shell
CodeRabbitCapacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shell
CodeRabbitCapacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shell

Foundation Stakeholder Update

product-on-purpose/pm-skills
518 starsApache-2.0

Produces async communication to stakeholders, primarily non-attendees and secondarily some attendees who want a reference. Translates meeting outcomes into what-it-means language for readers, with channel variants (slack, teams, email, notion, exec-memo) and audience variants (engineering, design, l…

Install to Claude Code

npx -y skills add product-on-purpose/pm-skills --skill foundation-stakeholder-update --agent claude-code

Installs into .claude/skills of the current project.

Files
SKILL.mdView on GitHub

Stakeholder Update

A stakeholder update is async communication to readers who need to know the outcomes of a meeting. Primary audience is non-attendees; secondary audience is some attendees who want a reference version (came in late, stepped out, need something to forward).

Distinct from foundation-meeting-recap in audience, format, and purpose: the recap is a summary of what happened for people who were in the room; the stakeholder-update is a translation of outcomes into what-it-means for readers (tailored to their role, with technical-to-business translation where the audience warrants it).

Distinct from /discover-stakeholder-summary: that skill is about understanding stakeholders (input to the user's work). This skill is about communicating to stakeholders (output from the user's work).

This skill belongs to the Meeting Skills Family. It conforms to the Meeting Skills Family Contract.

When to Use

  • After a meeting with outcomes affecting teams who were not in the room
  • When a decision or commitment needs to propagate to downstream teams async
  • When a recap exists and needs to be translated into audience-specific language
  • When the user needs something from readers (specific CTA) and cannot afford for it to be buried

When NOT to Use

  • Summarizing what happened for attendees. Use foundation-meeting-recap.
  • Broadcasting status with no specific audience tailoring. A plain Slack message is sufficient; the skill adds value when translation or CTA framing matters.
  • Communicating research findings to stakeholders. Use /discover-interview-synthesis plus targeted comms.
  • The source is not one meeting's outcomes but a broader artifact (a spec, discovery synthesis, research report, GTM plan, or experiment results) that needs to fan out to several audience-tailored briefings from one canonical master. Use foundation-stakeholder-briefings.

Zero-friction execution

Per the family contract, this skill never blocks on interrogation. Default flow:

  1. Load related recap (preferred) or raw meeting notes
  2. Detect thread continuation by scanning same directory for prior stakeholder-updates on the same project/topics
  3. Infer channel (if not specified) from audience variant: engineering / design → slack; leadership → email; mixed → notion
  4. Present a brief inference summary (detected channel, audience, CTA, thread continuation if any, translation candidates)
  5. Accept go or corrections
  6. Produce the channel-tailored update

If invoked with --go, skip the inference summary. The entire output is shareable content (per family contract. no separate summary block needed).

Instructions

When asked to create a stakeholder update, follow these steps:

  1. Load related recap Parse frontmatter to extract meeting context, decisions, actions, outcomes. If no recap provided, accept raw meeting notes with a lower input-quality flag.

  2. Detect thread continuation Scan same directory for prior stakeholder-update artifacts with matching project / topics. If found, reference the prior update in the frontmatter thread_continuation_of field.

  3. Present go-mode inference summary Show inferred channel (if not specified), detected audience, proposed CTA, thread continuation status, translation candidates (flagged jargon or acronyms that may not land).

  4. Distill key outcomes From the recap or notes, select 3-5 outcomes that matter to the target audience. Do not include everything from the recap. filter by audience relevance.

  5. Frame the CTA If action is needed: lead with it, not bury it If FYI-only: state explicitly in the TL;DR

  6. Translate technical-to-business Flag jargon and acronyms unlikely to land with the audience. Provide plainer alternatives. Keep a translations-applied log for user verification in the output's Generation context.

  7. Build the channel-tailored variant

    • Slack / Teams: headline (one action-oriented line, optionally one emoji), TL;DR 3 bullets, context sentence, "what this means for [audience]", CTA (bold with marker if action needed; italic "FYI-only" if not), thread-continuation link, more-links footer
    • Email: subject line (topic + outcome), greeting ("Hi [audience]"), opening sentence (headline + why they are receiving this), TL;DR, context 2-3 sentences, what was decided / advanced, what this means for your team, what I need from you (with by-when), thread reference, sign-off
    • Notion: rich H1/H2/H3 structure, longer context block, collapsible sections for detail, table for decisions and actions
    • Exec-memo: TL;DR first (3-4 lines), supporting detail in 3 sections max, asks section upfront, formal tone, no emoji
  8. Render TEMPLATE.md with the selected variant as primary Other variants may be included as collapsible alternates for user flexibility. Remove all guidance blockquotes from the final artifact.

  9. Validate

    • channel is in enum
    • audience_variant is in enum
    • primary_cta is non-empty (use "FYI-only" if no action needed)
    • related_recap is a valid filename reference or flagged as raw-notes input

Quality Checklist

  • Channel variant matches the specified or inferred channel
  • Audience variant's "what this means for you" is specifically tailored (not generic)
  • CTA is surfaced up front, not buried
  • Technical-to-business translations are logged in Generation context for user verification (INTERNAL. outside shareable boundary)
  • Thread continuation referenced if prior updates exist on the same topic
  • ## Shareable update section present with channel-tailored body (v1.1.0. replaces "entire output is shareable" from v1.0.0)
  • Explicit boundary marker between Shareable update and internal sections (translations, sources)
  • Sources and References section lists the source recap and any prior updates in thread (INTERNAL)
  • Filename uses v1.1.0 variant pattern: YYYY-MM-DD_HH-MMtimezone_title_stakeholder-update-{channel}-{audience}.md

See also

  • Meeting Skills Family Contract
  • foundation-meeting-recap. upstream: primary input source
  • /discover-stakeholder-summary. distinct purpose (understanding stakeholders, not communicating to them)
Categories
Design & UI/UXOffice & Documents
First SeenAug 4, 2026
View on GitHub
Make your agent a DeFi expertCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
Make your agent a DeFi expertCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
Make your agent a DeFi expertCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
Make your agent a DeFi expertCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
Make your agent a DeFi expertCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
Make your agent a DeFi expertCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
Make your agent a DeFi expertCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
Make your agent a DeFi expertCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
Make your agent a DeFi expertCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
Make your agent a DeFi expertCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending

More from product-on-purpose/pm-skills

All 68 skills →
  • Measure Okr Grader
  • Measure Survey Analysis
  • Tool Design Sprint Brief
  • Tool Design Sprint Decide And Storyboard
  • Tool Design Sprint Map And Target
  • Tool Design Sprint Prototype Plan
  • Tool Design Sprint Readiness
  • Tool Design Sprint Sketch
  • Tool Design Sprint Test And Score
  • Tool Foundation Sprint Approach Options
  • Tool Foundation Sprint Basics
  • Tool Foundation Sprint Brief
  • Tool Foundation Sprint Differentiation
  • Tool Foundation Sprint Founding Hypothesis
  • Tool Foundation Sprint Magic Lenses
  • Tool Foundation Sprint Readiness
  • Tool Note And Vote
  • Utility Pm Changelog Curator
  • Utility Pm Critic
  • Utility Pm Release Conductor
  • Utility Pm Skill Auditor
  • Utility Pm Skill Iterate
  • Utility Pm Workflow Builder
  • Utility Pm Workflow Orchestrator

Recommended

More Design & UI/UX →
tool-foundation-sprint-approach-options

product-on-purpose/pm-skills

Day 2 morning move of a Foundation Sprint. Forces generation of 3 to 7 candidate approaches as one-page summaries before the team converges on a top bet. Use after Day 1 is signed and before Magic Lenses on Day 2 afternoon. Enforces a minimum of 3 approaches to prevent first-idea anchoring. Each approach summary names what it is, why it serves the differentiators, and includes a simple visual.
518
tool-note-and-vote

product-on-purpose/pm-skills

Structured group-decision mechanic that captures silent ideation, voting summaries, and Decider sign-off in a single bundled artifact. Use when a small team needs to make a fast decision with diverse input, when groupthink is a risk, or when a workshop moment demands silent contribution before discussion. Applicable to Foundation Sprint, Design Sprint, and any participatory decision context.
518
n8n-workflow-architect

promptadvisers/n8n-powerhouse

Strategic automation architecture advisor. Use when users want to plan automation solutions, evaluate their tech stack (Shopify, Zoho, HubSpot, etc.), decide between n8n vs Python/Claude Code, or need guidance on production-ready automation design. Invokes plan mode for complex architectural decisions.
21
shelby-protocol-expert

raintree-technology/claude-starter

Expert on Shelby Protocol architecture, erasure coding, placement groups, read/write procedures, Clay Codes, chunking, storage providers, RPC servers, and decentralized storage system design on Aptos blockchain. Triggers on keywords Shelby Protocol, erasure coding, Clay Codes, placement groups, Shelby architecture, storage provider, blob storage, chunking, Shelby whitepaper.
41
injurious-affection-assessment

reggiechan74/vp-real-estate

Expert in quantifying damages from construction and proximity impacts including noise, dust, vibration, traffic disruption, visual impairment, and business losses. Use when assessing temporary construction impacts, permanent proximity damages, business loss claims, or quantifying injurious affection beyond general principles. Key terms include injurious affection, construction impacts, noise modeling, vibration damage, traffic disruption, visual impairment, business losses
5
mcp-for-agents

ReinaMacCredy/maestro

Designs or reviews MCP servers so AI agents can use them reliably: outcome-oriented tools, flat constrained parameters, actionable errors via isError, token-efficient responses, composable outputs, and disciplined tool surfaces. Use when building an MCP server, adding tools to one, reviewing MCP tool design, or when the user mentions MCP optimization, tool descriptions, MCP best practices, or agent-friendly MCP design. Also use when the user has too many tools causing agent confusion, bloated responses wasting tokens, or agents picking the wrong tool.
222