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Analyze 1:1 patterns with a specific person — action item follow-through, recurring topics, carry-forward rate. Reports facts from notes only. Does NOT assess relationship quality. Use for any 1:1 pattern analysis: "analyze my 1:1s with X", "1:1 trends with X", "1:1 patterns", "how are my 1:1s with X going?"
npx claudepluginhub bathlasiddharth/myna --plugin mynaHow this skill is triggered — by the user, by Claude, or both
Slash command
/myna:1on1-analysis [person name][person name]The summary Claude sees in its skill listing — used to decide when to auto-load this skill
If vault_path is not in context, read `~/.myna/config.yaml` first. If the file does not exist, tell the user to run `/myna:setup` and stop.
Creates p5.js generative art with seeded randomness, noise fields, and interactive parameter exploration. Use for algorithmic art, flow fields, or particle systems.
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If vault_path is not in context, read ~/.myna/config.yaml first. If the file does not exist, tell the user to run /myna:setup and stop.
Reviews 1:1 session notes for a specific person and surfaces factual patterns across sessions. Read-only — inline output only.
Strict data boundary: Report only what's in the notes. No inferences about relationship quality, engagement, or morale. "Fewer topics" is a count, not a signal about anything.
Match the user's input against people.yaml via fuzzy resolution. If multiple matches, ask the user to clarify. Proceed for any relationship tier — the user may analyze 1:1s with their manager or a peer.
Primary source: Meetings/1-1s/{person-slug}.md
Sessions are typically organized with a dated heading, a prep section (checklist items), and a notes section (discussion, action items, decisions). Adapt to whatever structure is actually present — the user may have added custom sections or the format may have evolved.
Read all sessions. Parse all ## {YYYY-MM-DD} Session headings and sort ascending by date before analysis.
Default to sessions from the last 12 weeks. The user can specify a different range ("last 6 months", "last 10 sessions").
Additional sources for action item follow-through:
Projects/*.md — Grep for open and completed tasks with [person:: [[{name}]] involving this person. Completed tasks (- [x]) provide additional evidence that action items were addressed, even if not reflected in meeting notes.Note on two distinct item types:
[x] = addressed, [ ] = not addressed/carried forward) is the primary signal for carry-forward analysis.For each session (starting from the second), check whether action items from the previous session appear as addressed in the current session's notes or prep.
Scan discussion notes across all sessions for topics that appear in 3 or more sessions. A topic recurs when the same term, phrase, or subject appears in the discussion text across sessions.
A topic is resolved if: the corresponding prep item is checked [x] in the same or a subsequent session, or the same or a subsequent session contains "resolved", "closed", "done", "decided", or "won't pursue" in close proximity to that topic text.
List each recurring unresolved topic:
Do not infer why it recurs — just report the facts.
Carry-forward is tracked via Prep checkboxes. For each session, count:
- [ ] (not addressed — carried forward or dropped)- [x] (addressed in that session)If a - [ ] item from session N appears again in session N+1's Prep, it is confirmed as carried forward. If it disappears, it was dropped.
Carry-forward rate per session = unchecked items / total prep items. Report the per-session rate and the average across sessions.
## 1:1 Analysis — [Person Name]
**Sessions analyzed:** [N] sessions ([date range]) **File:** [[Meetings/1-1s/{person-slug}]]
---
### Summary
[3-4 sentences covering: overall follow-through rate, whether any recurring topics are a concern, and carry-forward trend. Use fewer sentences if the facts are sparse. Write a real synthesis — what the pattern actually means in practice, what stands out, what warrants attention — not a restatement of the counts below. Apply the same strict data boundary: synthesize patterns, not assessments. Do not infer relationship quality, engagement, or morale — report only what the data shows.]
### Action Item Follow-Through
**Overall rate:** [X]% ([Y of Z] action items addressed across analyzed sessions)
**All analyzed sessions:**
| Session | Action Items | Addressed | Not Addressed |
|---------|-------------|-----------|---------------|
| Apr 2 | 3 | 2 | 1 |
| ... | ... | ... | ... |
**Unaddressed items (from analyzed sessions):**
- "Review caching architecture proposal" — from Mar 21, not addressed in Mar 28 or Apr 2
- "Send growth plan template" — from Apr 2, not yet addressed
---
### Recurring Unresolved Topics
Topics appearing in 3+ sessions without resolution:
- **API spec ownership** — appeared in: Feb 14, Mar 7, Mar 21, Apr 2 (4 sessions). Not resolved.
- **Q3 growth goals discussion** — appeared in: Mar 7, Mar 28, Apr 2 (3 sessions). Not resolved.
---
### Carry-Forward Rate
**Average carry-forward rate:** [X]% (average across [N] sessions)
| Session | Total Prep Items | Unchecked | Checked | Carry-Forward % |
|---------|-----------------|-----------|---------|-----------------|
| Apr 2 | 6 | 3 | 3 | 50% |
| ... | ... | ... | ... | ... |
Meetings/1-1s/{person-slug}.md."