cog-team-intelligence
COG Team Intelligence aggregates activity and analytics data from GitHub, Linear, Slack, and PostHog into unified team intelligence briefs while detecting cross-platform misalignments and blockers. Use this skill to generate consolidated status reports that synchronize information across development, project management, communication, and analytics platforms.
git clone --depth 1 https://github.com/a5c-ai/babysitter /tmp/cog-team-intelligence && cp -r /tmp/cog-team-intelligence/library/methodologies/cog-second-brain/skills/team-intelligence ~/.claude/skills/cog-team-intelligenceSKILL.md
# COG Team Intelligence Skill
Cross-reference GitHub, Linear, Slack, and PostHog data to generate unified team intelligence briefs with bidirectional sync support.
## Capabilities
- Gather activity data from GitHub (PRs, issues, commits, reviews)
- Gather activity data from Linear (issues, cycles, projects)
- Gather activity data from Slack (discussions, decisions, threads)
- Gather analytics from PostHog (metrics, feature flags, experiments)
- Cross-reference data across all platforms
- Detect cross-platform misalignment
- Generate team intelligence briefs with blocker detection
- Support bidirectional sync between platforms
## Tool Use Instructions
1. Use `api-call` or `web-fetch` to gather data from configured integrations
2. Normalize data from each platform into comparable format
3. Cross-reference to identify patterns spanning platforms
4. Use `file-read` to load existing team context from 04-projects
5. Use `file-write` to create team brief in 01-daily
6. Use `file-write` to update team context in 04-projects
7. Use `git-commit` to commit team intelligence
## Examples
```json
{
"vaultPath": "./cog-vault",
"mode": "team-brief",
"userName": "Alex",
"integrations": {
"github": { "org": "my-org", "repos": ["frontend", "backend"] },
"linear": { "team": "engineering" },
"slack": { "channels": ["engineering", "product"] }
}
}
```Review TypeScript code changes for consistency, type safety, and monorepo patterns across babysitter packages
Generate and validate documentation for @a5c-ai/babysitter-sdk CLI commands and exported APIs
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
Architect code review with DRY, YAGNI, abstraction, and test coverage principle enforcement