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
- 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"] }
}
}
```Coordinate Crew (persistent) and Polecat (transient) agents using Gas Town's hook-based work distribution and GUPP principle.
System and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.
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This skill should be used when the user asks to "babysit issues", "work on assigned issues", "check a5c-agent issues", "process babysitter issues", or wants to find and work on open GitHub issues assigned to a5c-agent in the babysitter repo.