Create, manage, and query Google Meet conferences and meeting spaces via the Google Meet API.
Works with
Supports two main resource types: conferenceRecords for accessing meeting history, participants, recordings, and transcripts; spaces for creating and managing meeting spaces
Requires Google Workspace authentication and the gws CLI tool; see shared auth documentation for setup and security rules
Use gws schema to inspect method signatures, required parameters, and data types before constructi
PREREQUISITE: Read
../gws-shared/SKILL.mdfor auth, global flags, and security rules. If missing, rungws generate-skillsto create it.
gws meet <resource> <method> [flags]
get — Gets a conference record by conference ID.list — Lists the conference records. By default, ordered by start time and in descending order.participants — Operations on the 'participants' resourcerecordings — Operations on the 'recordings' resourcesmartNotes — Operations on the 'smartNotes' resourcetranscripts — Operations on the 'transcripts' resourcecreate — Creates a space.endActiveConference — Ends an active conference (if there's one). For an example, see End active conference.get — Gets details about a meeting space. For an example, see Get a meeting space.patch — Updates details about a meeting space. For an example, see Update a meeting space.Before calling any API method, inspect it:
# Browse resources and methods
gws meet --help
# Inspect a method's required params, types, and defaults
gws schema meet.<resource>.<method>
Use gws schema output to build your --params and --json flags.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongws-meetExecute the skills CLI command in your project's root directory to begin installation:
Fetches gws-meet from googleworkspace/cli and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate gws-meet. Access via /gws-meet in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
gws-meet fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for gws-meet matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: gws-meet is focused, and the summary matches what you get after install.
I recommend gws-meet for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in gws-meet — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
gws-meet reduced setup friction for our internal harness; good balance of opinion and flexibility.
gws-meet has been reliable in day-to-day use. Documentation quality is above average for community skills.
gws-meet is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in gws-meet — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
gws-meet reduced setup friction for our internal harness; good balance of opinion and flexibility.
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