Generate weekly executive status updates from Jira/Linear data exports. Produces a structured "highlights / blockers / risks / asks / what's next" briefing in markdown, Confluence, Notion, Linear, JSON, or Mermaid.
SkillScore74Maintained
Automatic
◆Project Management pack
Last verified 8/20/2026
What it changes
Passed 17 of 23 test cases with the skill, and 8 of 23 without it.
Without skill35%
With skill74%
Checks it passed that the model alone missed
Identifies `status_generator.py`
Proceeds to draft the update artifact
Maps SBNR Status to Header/Traffic Light and Highlights
and 11 more in the full report
9 fixed8 passed either way6 still failing0 broke
Pass-rate lift
+39 pp
Tokens
+103%
Agent turns
0%
Response time
-10%
Model gemini-3.6-flashMeasured 8/20/2026v117 of 23 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 9
Prompt
Which Python script name in the project repository is responsible for converting ticket JSON dumps into multi-format status reports?
What was checked, without and with the skill
Checked
Without skill
With skill
Identifies `status_generator.py`
Missed
Passed
case-17 · gemini-3.6-flash · 8/20/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md86 lines7 filesincludes scripts
Status Update Generator
Overview
Weekly status updates eat 30-90 minutes of every PM's Friday afternoon and they almost always say the same thing in subtly different ways. This skill standardizes the artifact: pull tickets from Jira or Linear (or any JSON dump), and emit a structured update with five named sections -- Highlights, Blockers, Risks, Asks, What's Next -- plus a traffic-light status (Red / Yellow / Green) for the period. The structure follows SBNR (Status / Blockers / Next / Risks) and a condensed Amazon 6-pager narrative for Highlights; the stoplight verdict follows classic R/Y/G reporting.
Core Capabilities
Six-section template — Header, Highlights, Blockers, Risks, Asks, What's Next, in a fixed order so exec readers scan in under 5 seconds (full section definitions in references/status-structure-and-workflow.md).
Traffic-light discipline — Green / Yellow / Red rules plus anti-patterns (watermelon status, always-yellow, color creep).
Multi-format rendering — status_generator.py emits all six SHARED_OUTPUT_SCHEMA formats: markdown, confluence, notion, linear, json, mermaid.
SBNR mapping — compressed async-standup variant mapped to the weekly sections.
When to Use
Weekly exec status update -- the standard Friday/Monday cadence brief sent to a sponsor, VP, or steering committee.
Monthly board / leadership packet -- aggregate four weekly updates into a monthly view.
Sprint review summary -- end-of-sprint communication that travels outside the team.
Cross-team async standup -- distributed teams where a written async update replaces a sync meeting.
Project kickoff status baseline -- the first status update establishes the template and traffic-light baseline.
When NOT to use: real-time incident response (use delivery-manager/ incident skills), deep retrospectives (use sprint-retrospective/), or one-to-one stakeholder reporting needing custom framing (use roadmap-communication/).
Clarify First
Before generating the update, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Traffic-light verdict (R/Y/G) — the human judgment the tool will not infer; sets the whole frame and must be defensible (prevents watermelon status)
Audience — sponsor, VP, or steering committee (sets altitude and what belongs in Highlights vs Asks)
This period's wins + blockers with real numbers — quantitative claims must come from telemetry, not ticket titles (fills Highlights and Blockers)
The asks — the specific decisions or help you need from the reader this week (drives the Asks section)
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
Cascades strategy from boardroom to individual contributor and detects misalignment. Use when teams pull in different directions, OKRs don't connect, departments optimize locally at company expense, or strategy doesn't translate to execution.