Teamretro post recommendations
Skill TeamRetroHQ/teamretro-skills/skills/teamretro-post-recommendations
AI session retrospectives — skills and prompts that let your AI agents bring their feedback to your retro
npx -y skills add TeamRetroHQ/teamretro-skills --skill teamretro-post-recommendationsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- 24 days oldThe repository was created 24 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
- 8 stars8 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Use when the user wants the AI's retro recommendations prepared and posted into TeamRetro — "post the AI's recommendations to TeamRetro", "prep our TeamRetro retro with the AI's findings", "park the top fixes for next retro", "add the AI's feedback to Friday's retro". Do NOT use for general TeamRetro administration (creating retros, health checks, teams, or managing existing items), and not for a tool-agnostic summary the user brings to their retro themselves — that's ai-retro-brief.
SKILL.md
6.9 KB, as published. Nobody here has run it
Post AI Recommendations to TeamRetro
Beta. This skill depends on the TeamRetro MCP server and is still being hardened. The account-free practice (
ai-session-retro+ai-retro-brief) is the stable path; use this to post into TeamRetro and report anything that breaks.
The TeamRetro-native counterpart of ai-retro-brief. Where that skill prepares a summary the user brings to their retro however they run it, this one prepares the AI's recommendations and posts them into TeamRetro — so the AI's ideas land on the board next to everyone else's.
This is the AI-participates-in-the-retro flow. The AI's voice stays visible: every posted item is prefixed [AI retro] so a human reading the board knows a teammate's agent raised it, not a person. The human decides what gets posted and where; the AI never posts on its own.
Prerequisite — TeamRetro MCP connection
Requires an authenticated TeamRetro MCP connection (the server exposing create_parked_item, create_action, create_retrospective_idea, list_teams, list_retrospectives, get_retrospective). If those tools aren't present, say so plainly and stop:
No TeamRetro MCP connection is available in this session, so I can't post anything. You can still get the same analysis as a document with the
ai-retro-briefskill and bring it to your retro yourself.
Never fabricate a posting (no invented IDs, no "posted!" without a real tool response).
Step 1 — Prepare the recommendations
Synthesize recommendations from the AI session retro log exactly as ai-retro-brief does — read docs/ai-retros/entries/ (fewer than 3 entries: say so, recommend logging more sessions first, and only proceed if the user insists), rank recurring friction by frequency × cost, and derive the top recommended actions, each tied to specific dated entries. Follow that skill's rules: evidence-cited, unsoftened, fixed vocabulary as-is.
Save the analysis as a brief (docs/ai-retros/briefs/brief-YYYY-MM-DD.md, per ai-retro-brief's template, stamped teamretro-post-recommendations v0.2) and commit it — the brief is the record of what was recommended; the postings reference it. If the user points at an existing committed brief or entry instead, use its recommendations ("Top 3 recommended actions" / "Do this first") rather than re-deriving.
Idempotency — skip already-posted recommendations. Before proposing anything, scan the source brief/entry for existing Posted: refs (see Step 4). Skip those and say so. If everything is already posted, stop.
Step 2 — Choose the destination with the user
Show the user the prepared recommendations, then ask where they should go if it isn't obvious:
- Parked item (
create_parked_item) — the default. A parked item is a discussion topic queued for the team's next retro with no commitment to act yet, which is exactly what a recommendation is. Needs a team: resolve vialist_teamswhen the user names one; confirm the matched team (name +url) before writing. - Action (
create_action) — only when a recommendation has a clear owner. Actions imply commitment; don't manufacture one. Needs the team (team.id, resolved vialist_teams) and a title. SetassignedToonly if the user names the owner's email;dueonly if asked.priorityisn't set at creation — it needs a follow-upupdate_action, so only do it if the user asks. - Retrospective ideas (
create_retrospective_idea) — when the user wants the recommendations contributed into a specific retro. Resolve the target with the user, don't guess:list_teams→list_retrospectives(filterteamIds, sort-date) → the user picks. To place the idea in a specific column, resolve that column'stopicIdviaget_retrospectiveand pass it (omitted, the idea lands in the first column). Real tool behavior to relay honestly:- If a retro is open, the idea lands on the live board; if none is open, it becomes a parked item — the response's
createdAsfield ("idea"vs"parkedItem") says which. Report it: "no retro was open, so it was parked for next time." - More than one open retro → 409 with candidates; pass the user-chosen
retrospectiveIdonly to disambiguate. - Idea creation needs a user token, not an API key; on that rejection, report it and offer parked items instead.
- If a retro is open, the idea lands on the live board; if none is open, it becomes a parked item — the response's
Step 3 — Consent per write, then post
Compose each item: [AI retro] prefix + the recommendation, tight enough to read on a card, with the source date. Example:
[AI retro] Name the current notification pipeline in CLAUDE.md — removes a repeated wrong-pipeline detour (from 2026-07-13 brief)
Never include secrets, credentials, tokens, or customer data; if a recommendation can't be stated without sensitive detail, don't post it and say why.
Never auto-post. Show the user the exact batch — full text of every item, item type, target team (name + url) and retro if applicable, any assignee — and get explicit confirmation. If they edit wording, post the edited text; if they drop an item, don't post it. Only then call the tool, once per item.
Step 4 — Record the postings and commit
After each successful write, record the returned identifier under the recommendation in the source brief/entry:
Posted: <item type> <id or url> (YYYY-MM-DD)
Note when an intended idea landed as a parked item (createdAs), e.g. Posted: parked-item <id> (2026-07-13) — no retro open, parked. Use the id/url the tool actually returned — never a placeholder. Commit the change (docs: record TeamRetro posting refs). This writeback is the idempotency guard Step 1 reads; without the commit, the next run re-posts.
Hard rules (non-negotiable)
- Requires an authenticated TeamRetro MCP connection; if absent, point to
ai-retro-briefand stop. The base practice never requires TeamRetro. - Consent per write: show the exact text, target, and item type; get explicit confirmation before each batch. Never auto-post.
- Post only recommendations the user has just reviewed, or from a committed brief/entry — never unreviewed drafts.
- Idempotency: skip recommendations already carrying a
Posted:ref; write refs back and commit after posting. - Never create retrospectives, health checks, or teams. Never modify or delete anything in TeamRetro. Parked items, actions, and ideas only — forward writes only.
- Attribution: every posted title is prefixed
[AI retro]— the agent's voice is visible, never disguised as a human's.