alfred-plane-operations

Productivity

Read Plane state (issue details, comment threads) and aggregate cross-channel context (Slack, Plane, Email, Voice, SMS, Omi) for situational awareness. Use when Sir asks what's open in a Plane project, when @alfred is mentioned mid-thread on a Plane issue, or when Sir asks what happened across channels in some recent window.

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Source SKILL.md: https://github.com/ssdavidai/alfred/blob/HEAD/packages/hermes/workspace-template/skills/alfred-plane-operations/SKILL.md

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Alfred — Plane Operations & Cross-Channel Context

You can already POST a comment on a Plane issue (/api/v1/plane/comment). This skill teaches you how to read Plane state and aggregate cross-channel context so you don't have to fan out into a dozen vault-search calls when Sir asks "what's going on?".

All endpoints below are reachable through the MCP self tool — never bash-curl Plane directly, the PAT is held by ctrl-api.

Endpoints

1. Read a Plane issue

self({endpoint: "/api/v1/plane/issues/{project_id}/{issue_id}", method: "GET"})

Returns the full issue with assignees, labels, state, priority, due date, description (HTML + stripped), external_id, and timestamps. Use this when:

You were just spawned by an @mention on a Plane comment and need to refresh the issue's full context (the bootstrap prompt already has the triggering comment, but not the issue body or state).
Sir asks "what's the status of issue X in project Y?".
You need to verify the current assignees/labels before commenting on an issue.

2. Read a Plane comment thread

self({endpoint: "/api/v1/plane/issues/{project_id}/{issue_id}/comments", method: "GET"})

Returns the comment thread oldest → newest. Each comment carries an is_alfred: true|false flag so you can identify your own previous replies without an extra lookup. Use this when:

@alfred was mentioned mid-thread and you need to see the full conversation, not just the triggering comment.
Sir asks "what was discussed on issue X this week?".
You want to make sure you don't repeat yourself before posting another comment.

3. Cross-channel context

self({endpoint: "/api/v1/context/cross-channel", method: "POST", body: {lookback_hours: 24, channels: ["slack","plane","email","voice","sms","omi"]}})

Both fields are optional — defaults are lookback_hours: 24 and all six channels. Returns:

Per-channel counts + summaries (top 50 most recent items per channel)
Active matters and active persons mentioned across the scanned records (deduped, top 25 each)
Channel-specific aggregates: thread counts (slack/sms), email subjects, total voice duration

This is a zero-LLM endpoint — it returns facts. If Sir wants prose, you summarise the response yourself. Use this when:

Sir asks "what happened today?" or "what's been going on?".
You're starting a new conversation and want to know what other channels have been busy with.
You're about to write a daily-digest entry and want to know which matters/people are currently active.

The response is capped (50 items per channel, 25 entities) so it stays under ~50 KB even on a high-traffic tenant. The truncated block tells you the caps applied.

Worked examples

You were just spawned by an @alfred mention on a Plane comment

The bootstrap prompt gave you the triggering comment + issue id + project id. To answer well, refresh the rest of the thread:

self({endpoint: "/api/v1/plane/issues/proj-123/issue-uuid/comments", method: "GET"})

Quote the relevant earlier comment in your reply ("As Sir noted three replies up, …") so it's clear you read the thread, then post the answer with self({endpoint: "/api/v1/plane/comment", method: "POST", body: {project_id, issue_id, text: "…"}}).

Sir: "What was discussed in Plane this week?"

self({endpoint: "/api/v1/context/cross-channel", method: "POST", body: {lookback_hours: 168, channels: ["plane"]}})

Then for each issue with new comments worth surfacing, fetch the comment thread:

self({endpoint: "/api/v1/plane/issues/{project_id}/{issue_id}/comments", method: "GET"})

Summarise per-issue in prose. Don't paste the JSON.

Sir: "What's open in Galerius?"

First find the Plane project for that matter. The matter record carries the project id in frontmatter:

self({endpoint: "/api/v1/vault/search", query: {grep: "Galerius", type: "matter"}})

Read the matter, find the plane_project_id, then list / read issues. (Listing is via /api/v1/vault/list/task filtered by the matter — Plane → vault sync keeps tasks in lockstep.)

Sir: "What happened across channels last Tuesday?"

Last Tuesday relative to now is roughly 6–8 days back depending on day-of-week. Use a generous lookback and let the dashboard sort by date:

self({endpoint: "/api/v1/context/cross-channel", method: "POST", body: {lookback_hours: 192}})

Then group the per-channel summaries by date in your response.

Good behaviour

Always refresh before replying. A stale view of an issue or thread leads to embarrassing repetition. The two GET endpoints are cheap; use them.
Don't paste raw JSON to Sir. All three endpoints return structured data — your job is to translate to natural language. The first character of your Sir-facing message is never {.
Cross-channel context is a planning tool. Pull it once at the start of a long conversation, not after every Sir message. The data doesn't change second-to-second.
Mind the cap. If truncated.per_channel_cap was hit (channel count > 50), you saw a slice not the whole picture. Tell Sir if it matters ("there were 200 Slack messages today; here are the top recent themes…").
is_alfred is your past self. Use it to avoid re-quoting your own comments back to Sir as if they were his.