analyze-team-session
Use when reviewing an agent team session export for quality, when asked to "analyze this team session", "review my agent team…
Generate a self-contained HTML viewer for any Claude Code session, including agent team sessions with full inter-agent DM timelines. Use whenever the user asks to "view a session", "visualize a conversation", "show me what happened in session X", "generate a session viewer",
$ npx -y skills add kenneth-liao/ai-launchpad-marketplace --skill view-team-session --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/view-team-sessionContext preview
The summary Claude sees to decide when to auto-load this skill.
Generate a self-contained HTML viewer for any Claude Code session, including agent team sessions with full inter-agent DM timelines. Use whenever the user asks to "view a session", "visualize a conversation", "show me what happened in session X", "generate a session viewer",
name: view-team-session description: Generate a self-contained HTML viewer for any Claude Code session, including agent team sessions with full inter-agent DM timelines. Use whenever the user asks to "view a session", "visualize a conversation", "show me what happened in session X", "generate a session viewer", "replay a session", "show me what my agents did", "session replay", "team timeline", or references viewing/inspecting Claude Code JSONL logs. Also use when the user provides a session ID and wants to see the conversation. user-invocable: true argument-hint: "<session-id>"
Generate a self-contained HTML viewer from Claude Code session JSONL logs. Works for both solo sessions and agent team sessions, showing the full conversation timeline with filtering, search, and collapsible tool calls.
Claude Code stores conversation logs as JSONL files at `~/.claude/projects/<project>/<session-id>.jsonl`. When agent teams are used, each agent gets its own JSONL file in the same project directory, linked by a shared `teamName` field. Team config is stored at `~/.claude/teams/{team-name}/config.json`.
Browsers can't read local JSONL files directly, so the skill uses a Python script to extract the data and embed it into a self-contained HTML playground.
Run the generate script with a session ID using `uv run`:
uv run ${CLAUDE_SKILL_DIR}/scripts/generate.py SESSION_ID [--output path] [--no-open]The script will: 1. Scan `~/.claude/projects/*/` to find the session's JSONL file 2. If it's a team session, discover all teammate JSONL files via the shared `teamName` field and enrich with team config from `~/.claude/teams/` 3. Parse all files into structured events (speech, DMs, tool calls, task management, thinking, etc.) 4. Deduplicate inter-agent DMs (each DM exists in both sender and receiver logs — only the sender's copy is kept since it has richer metadata) 5. Embed the data into the HTML template and write the output file
If the user doesn't provide a session ID, help them find one:
# List recent sessions for the current project ls -lt ~/.claude/projects/<project>/*.jsonl | head -10 # Search for sessions containing specific content grep -l "search term" ~/.claude/projects/<project>/*.jsonl
The session ID is the filename without the `.jsonl` extension.
The generated HTML is a single self-contained file with:
Output files go to `.claude/output/` by default.
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