tma1-ai/tma1/tma1-peer
Claude Code and agent skill by tma1-ai/tma1
- community
Checking that the SKILL.md file is still in the repository.
List recent sessions on this project by agent — peer agents (Codex, Copilot CLI) or your own past sessions. Invoke when the user wants you to read another agent's review feedback, see what someone else tried, act on cross-agent context, or recall your own earlier work here. Trigger phrases: \"what did codex do\", \"what did copilot do\", \"peer sessions\", \"cross-agent context\", \"what did I do earlier\", \"我之前在这个项目做了什么\", \"/tma1-peer\".
Install
npx vskill@latest install tma1-ai/tma1/tma1-peerSKILL.md
TMA1 Peer-Agent Lens
Lists recent sessions on the current project, newest first. Default is peer agents — the ones that aren't you — because the usual reason to call this is "another agent reviewed something, act on it without me copy-pasting between terminals". Naming yourself is also allowed.
Syntax
Agent names: opencode, codex, copilot (= copilot_cli), claude (= claude_code), self (= you), all / omitted (= every peer but you). Anything else: reply unknown agent "<X>"; available: codex, copilot, opencode, claude, self, all and STOP — do not call the tool with an unrecognised name.
Flags
| Flag | Maps to | Default | |
|---|---|---|---|
--summary | detail: "summary" — header, tools, files; no messages | ||
| (none) | detail: "preview" — 3 recent messages per session | default | |
--full | detail: "full" — 40 recent messages per session | ||
--limit N | limit — sessions per agent, 1-5 | 1 | |
--since 2h / --since 90m | since_min in minutes | 1440 (24h) |
Legacy positional form still works: /tma1-peer codex 3 30 means agent codex, limit: 3, message_limit: 30. A bare leading integer is the limit, not an agent (/tma1-peer 3 → all peers, limit: 3). Prefer the flags above when writing new invocations.
Call the tool
mcp__tma1__get_peer_sessions with the parsed agent_source, detail, limit, since_min. Pass every value the user actually supplied — do not silently fall back to the defaults.
Use the response
sessions[]—session_id,agent_source,last_activity_ago,
duration_minutes, tool_call_count, messages, recent_tool_names, files_touched, cwd. On a self lookup, is_latest_for_cwd marks the session that is almost certainly the one you're in right now — don't report your own current work back to the user as news.
most_recent_session— freshest session's agent + age. Lead with it so
the user knows immediately whether the peer work is current.
partial_failures—agent → error. Present only when the all-peers
fan-out had a failure. Read it before calling empty results silence.
note— present only whensessionsis empty and nothing failed.
Rules:
- Quote what the peer actually said. Do not paraphrase. Reading the
peer's exact words is the point of this command.
- Messages are capped per
detail; a cut message carriestruncated: true.
Need the rest? mcp__tma1__get_session_transcript with that session_id.
- Empty
sessions, nopartial_failures→ say `no recent <agent> sessions
on this project in the window` and stop. Don't fabricate.
- Empty
sessionswithpartial_failures→ name the peers that failed and
quote the error instead of asserting silence.
Related
- Looking for a session by keyword rather than by agent? Use
/tma1-search. - Already have a
session_id? Go straight toget_session_transcript.
Examples
User: /tma1-peer codex --full You: (call with agent_source: "codex", detail: "full", limit: 1) You: "Codex reviewed auth.go 12 min ago and left three concrete issues:
- ... 2. ... 3. ... Want me to address all three or pick one?"
User: /tma1-peer self --limit 3 You: (call with agent_source: "self", limit: 3) You: "Three of your sessions here today. The current one aside, the 14:20 session landed the retry fix and the 11:05 one was the failed migration attempt."
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingclaude-plugin/skills/tma1-peer/SKILL.md
Popularity
- Repository stars
- 96
- Repository forks
- 8
- 7-day trend score
- 23
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
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- Cursor
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- Windsurf
- Codex
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- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
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