call-summary▌
anthropics/knowledge-work-plugins · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
/call-summary
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Process call notes or a transcript to extract action items, draft follow-up communications, and update records.
Usage
/call-summary <notes or transcript>
Process these call notes: $ARGUMENTS
If a file is referenced: @$1
How It Works
┌─────────────────────────────────────────────────────────────────┐
│ CALL SUMMARY │
├─────────────────────────────────────────────────────────────────┤
│ STANDALONE (always works) │
│ ✓ Paste call notes or transcript │
│ ✓ Extract key discussion points and decisions │
│ ✓ Identify action items with owners and due dates │
│ ✓ Surface objections, concerns, and open questions │
│ ✓ Draft customer-facing follow-up email │
│ ✓ Generate internal summary for your team │
├─────────────────────────────────────────────────────────────────┤
│ SUPERCHARGED (when you connect your tools) │
│ + Transcripts: Pull recording automatically (e.g. Gong, Fireflies) │
│ + CRM: Update opportunity, log activity, create tasks │
│ + Email: Send follow-up directly from draft │
│ + Calendar: Link to meeting, pull attendee context │
└─────────────────────────────────────────────────────────────────┘
What I Need From You
Option 1: Paste your notes Just paste whatever you have — bullet points, rough notes, stream of consciousness. I'll structure it.
Option 2: Paste a transcript If you have a full transcript from your video conferencing tool (e.g. Zoom, Teams) or conversation intelligence tool (e.g. Gong, Fireflies), paste it. I'll extract the key moments.
Option 3: Describe the call Tell me what happened: "Had a discovery call with Acme Corp. Met with their VP Eng and CTO. They're evaluating us vs Competitor X. Main concern is integration timeline."
Output
Internal Summary
## Call Summary: [Company] — [Date]
**Attendees:** [Names and titles]
**Call Type:** [Discovery / Demo / Negotiation / Check-in]
**Duration:** [If known]
### Key Discussion Points
1. [Topic] — [What was discussed, decisions made]
2. [Topic] — [Summary]
### Customer Priorities
- [Priority 1 they expressed]
- [Priority 2]
### Objections / Concerns Raised
- [Concern] — [How you addressed it / status]
### Competitive Intel
- [Any competitor mentions, what was said]
### Action Items
| Owner | Action | Due |
|-------|--------|-----|
| [You] | [Task] | [Date] |
| [Customer] | [Task] | [Date] |
### Next Steps
- [Agreed next step with timeline]
### Deal Impact
- [How this call affects the opportunity — stage change, risk, acceleration]
Customer Follow-Up Email
Subject: [Meeting recap + next steps]
Hi [Name],
Thank you for taking the time to meet today...
[Key points discussed]
[Commitments you made]
[Clear next step with timeline]
Best,
[You]
Email Style Guidelines
When drafting customer-facing emails:
- Be concise but informative — Get to the point quickly. Customers are busy.
- No markdown formatting — Don't use asterisks, bold, or other markdown syntax. Write in plain text that looks natural in any email client.
- Use simple structure — Short paragraphs, line breaks between sections. No headers or bullet formatting unless the customer's email client will render it.
- Keep it scannable — If listing items, use plain dashes or numbers, not fancy formatting.
Good:
Here's what we discussed:
- Quote for 20 seats at $480/seat/year
- W9 and supplier onboarding docs
- Point of contact for the contract
Bad:
**What You Need from Us:**
- Quote for 20 seats at $480/seat/year
If Connectors Available
Transcripts connected (e.g. Gong, Fireflies):
- I'll search for the call automatically
- Pull the full transcript
- Extract key moments flagged by the platform
CRM connected:
- I'll offer to update the opportunity stage
- Log the call as an activity
- Create tasks for action items
- Update next steps field
Email connected:
- I'll offer to create a draft in ~~email
- Or send directly if you approve
Tips
- More detail = better output — Even rough notes help. "They seemed concerned about X" is useful context.
- Name the attendees — Helps me structure the summary and assign action items.
- Flag what matters — If something was important, tell me: "The big thing was..."
- Tell me the deal stage — Helps me tailor the follow-up tone and next steps.
How to use call-summary on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add call-summary
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches call-summary from GitHub repository anthropics/knowledge-work-plugins and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate call-summary. Access the skill through slash commands (e.g., /call-summary) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★32 reviews- ★★★★★Chaitanya Patil· Dec 28, 2024
Solid pick for teams standardizing on skills: call-summary is focused, and the summary matches what you get after install.
- ★★★★★Piyush G· Nov 19, 2024
We added call-summary from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Shikha Mishra· Oct 10, 2024
call-summary fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Daniel White· Sep 13, 2024
call-summary fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Hassan Khanna· Sep 5, 2024
I recommend call-summary for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Hassan Kapoor· Sep 1, 2024
Solid pick for teams standardizing on skills: call-summary is focused, and the summary matches what you get after install.
- ★★★★★Aisha Park· Aug 24, 2024
Useful defaults in call-summary — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Hassan Dixit· Aug 20, 2024
call-summary has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kofi Haddad· Aug 4, 2024
We added call-summary from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Arjun Shah· Jul 23, 2024
Registry listing for call-summary matched our evaluation — installs cleanly and behaves as described in the markdown.
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