Install
$ agentstack add skill-stefanoskarakasis-product-marketing-skills-retro ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
GTM Retrospective Engine for PMMs
Runs a structured retrospective for cross-functional squads that produces OKR-linked decisions — and gets smarter every session. Not a feelings circle. A diagnostic system. ---
Trigger
- When: Post-launch review, GTM cycle debrief, sprint retrospective with a PMM lens, or any cross-functional session where decisions are needed, not just discussion.
- Not for: Pre-launch risk analysis → use
hs-pre-mortem. OKR setting for the next quarter → usehs-brainstorm-okrs. Campaign briefing after a retro surfaces a messaging gap → usehs-gaccs-brief. Competitive root cause analysis → usehs-competitive-battlecard. - Example prompts:
- "Run a retro on our Q2 product launch"
- "We missed our pipeline KR — let's debrief"
- "What went wrong with the enterprise campaign?"
- "Facilitate our post-launch review for the analytics dashboard"
- "Our last sprint ended badly — help us figure out why"
Inputs
- Args: Cycle name or launch name (required). Free format — one sentence minimum.
- Defaults: If no cycle named, run intake before proceeding. Never generate a retro output without a named cycle and at least one OKR to anchor to.
- Context keys:
/foundation/brain.md— optional but recommended. Load ICP, Positioning, Revenue Levers, GTM Motion, Launch Tier Definitions silently if present./context/meta-patterns.md— optional; recurring patterns from all skills (guardrail prompts + cross-skill signals)knowledge/retro-patterns/rules.md— apply all active rules by default, silently.knowledge/retro-patterns/hypotheses.md— note any open hypothesis testable today.decisions/— check for prior structural decisions before making new ones.sessions/— surface carry-over action items from the most recent session file.
Brain contract: Reads: Section 2 (ICP), Section 3 (Positioning), Section 5 (Revenue), Section 7 (Launch history). Writes: /context/skill-sessions.md, /foundation/brain.md Section 7 (learnings), /context/knowledge/retros/. ---
Pre-flight
- Load guardrails first: Check
/context/meta-patterns.mdfor recurring patterns from prior launches. If pattern matches (e.g., "champion alignment was gap in 2+ retros"), surface guardrail prompt before Step 1. - Load
/foundation/brain.mdsilently if present. Extract: ICP Prioritisation, Positioning, Revenue Levers, GTM Motion, Launch Tier Definitions. - If Positioning or ICP is 🔴 Placeholder, flag before proceeding:
> "⚠️ Positioning is marked Placeholder. This retro may surface symptoms rather than root causes — update context first for sharper diagnosis."
- If brain missing: proceed, surface once:
> "No brain found. Run hs-product-marketing-context for sharper root cause diagnosis. Continuing."
- Load
knowledge/retro-patterns/rules.md— apply silently. - Check
decisions/— follow prior structural decisions unless new evidence invalidates them. - Check
sessions/— surface carry-over action items before intake. - If knowledge files don't exist: create folder structure silently. System builds from session one.
Steps
Step 0: Surface Guardrails (NEW)
Before intake, check for patterns:
If /context/meta-patterns.md exists and contains retro patterns:
🔁 PATTERN DETECTED FROM PRIOR LAUNCHES
I've seen [specific pattern] in [N] prior retros.
Example: "Champion alignment was a gap in retros #1 and #2", "Post-sales prep consistently underestimated", "Competitive response faster than predicted"
Quick question: Did [specific pattern] show up in this launch too?
- If YES → we'll flag it as a confirmed pattern + update guardrails
- If NO → we'll watch for other gaps
This helps the system learn what to expect in future launches.
Common guardrail patterns to surface:
- "Champion alignment gaps in 2+ retros" → "Was champion alignment an issue here too?"
- "Post-sales prep underestimation in 2+ retros" → "Did support docs/training get completed on time?"
- "Competitive response faster than predicted (3+ retros)" → "Did a competitor respond faster than you expected?"
- "Tier mismatch (over-assigned in 2 retros)" → "Were you over-investing GTM weight for the actual market response?"
If patterns apply, ask guardrail question. User can skip, but they've been warned.
Step 1: Run Intake
Ask in one message. Never generate before OKRs are confirmed. > "Before I run the retro, three things I need: > > 1. What cycle are we reviewing? (Sprint / launch name / campaign name + dates) > 2. What were we trying to achieve? (OKR + specific KRs this initiative was meant to move) > 3. What inputs do you have? (Launch metrics, win/loss data, stakeholder feedback — paste or describe what's available)" If OKRs are not provided: stop and ask specifically. A retro without OKR anchoring is a venting session with a timer. Confirm before proceeding: > "Got it. Reviewing [Cycle Name] against [OKR]. Starting with outcome anchor." ---
Step 2: Set Outcome Anchor
Establish the evidence base before collecting any feedback.
GTM Cycle / Sprint: [Name or number]
Period: [Start → End]
Primary OKR: [Objective]
Key Results targeted: [KR1 / KR2 / KR3]
Outcome: [Achieved / Partially achieved / Missed] — [metric with number]
Launch tier assigned: [T1 / T2 / T3 / T4]
Days since launch: [N]
Market response: [Better / As expected / Worse than predicted]
Ask one calibrating question: "Did the market respond the way we expected? Yes or no." ---
Step 3: Select Format
Infer from context or ask. | Format | Use Case | Focus | |--------|----------|-------| | A — GTM Health Check | Launch cycles, campaign sprints | Assess market impact | | B — OKR Gap Analysis | When KRs were missed | Trace root cause to KR failure | | C — Cross-Functional Tension Map | When collaboration broke down | Name the structural cause | ---
Step 4: Collect and Structure Feedback
Group feedback into 3–5 themes. Tag each: GTM impact or Process friction. Rank by OKR relevance. Cross-reference against knowledge/retro-patterns/rules.md — flag recurring patterns: > "⚠️ This theme has appeared in prior retros. See [Rule ID]."
Check /context/meta-patterns.md for cross-skill signals: > "💡 Cross-skill signal: 'Post-sales prep' appeared in 2 PDRs + 2 retros. This retro confirms it. Pattern is now solid."
Important: If "communication" appears as a theme, push for the structural root cause. Communication is never the real cause — it's a symptom. ---
Step 5: Root Cause Diagnosis
For each top theme, build a diagnostic chain: | Theme | Surface observation | One level deeper | Structural root cause | |-------|-------------------|-----------------|----------------------| | [Theme] | [What people said] | [What it means] | [Process/RACI/timing/brief quality] | PMM-specific root causes to check:
- Late brief (positioning or messaging locked too close to launch)
- Untested positioning (claim validation gap)
- Tier mismatch (assigned T2, but market signals said T1 or T3)
- Sales misalignment (enablement gap or comp misalignment)
- Competitive blind spot (missed alternative or competitor move)
- Post-sales prep gap (support docs / training not ready)
- KR design failure (metric didn't measure what mattered)
- Champion alignment failure (champion wasn't aligned before go-live)
Always run tier assessment: | | Assigned | Warranted | Gap | |---|----------|-----------|-----| | Launch tier | [T?] | [T?] | [Over / Under / Correct] | ---
Step 6: Correlate with Pre-Mortem Predictions
If pre-mortem exists from before this launch:
- Load the pre-mortem file (check
/context/knowledge/risks/for matching launch) - Compare predicted risks to what actually materialized:
- Which Tiger risks came true?
- Which risks didn't materialize (and why)?
- Which risks did we miss?
- Log correlation to
/context/skill-sessions.md(see Step 8) - Surface to user:
> "Pre-mortem accuracy check: We predicted 8 risks, 5 materialized, 2 we missed, 1 didn't happen."
This feeds meta-synthesis: Retro + pre-mortem correlation teaches the system about prediction accuracy.
Step 7: Action Items
Max 3. Each must link to a KR or go to backlog. | Priority | Action | KR | Owner | Deadline | Success Metric | |----------|--------|----|----|----------|--------| | 1 | [Structural change] | [KR ref] | [Single owner] | [Date] | [Measurable] | Rules:
- Single owner only. "Improve communication" is not an action item.
- Carry-over items from the previous retro take priority. If carry-over isn't done, ask why first.
- Every action must be structural (process, RACI, artifact, timing) — not aspirational.
Step 8: Propose Brain & Context Updates (NEW)
If retro surfaces learnings to encode:
Learnings to update brain Section 7 (Meta-Learnings):
- "Timeline assumption: +48 hours for champion alignment (confirmed 2x)"
- "Competitive response timing: 24-48 hours (not 1 week)"
- "Post-sales prep must be done 7 days pre-launch (confirmed 2x)"
- "Sales adoption blockers: [specific pattern]"
Learnings to update anti-ICP (brain Section 2):
- "Long procurement cycles (60+ days) = deal-killer" (if discovered)
- "Requires legal review" (if discovered)
Surface explicitly with approval gates: > "Should we update brain Section 7 with: 'Timeline assumption: +48 hours for champion alignment'? > This appeared in retro #1 and #2, now confirmed."
Step 9: Post-Session Logging (NEW)
After every session, log structured data to /context/skill-sessions.md:
skill: retro
session_date: 2026-06-21
launch_name: "SSO Integration Launch"
launch_tier: "T2"
launch_date: 2026-06-15
retro_date: 2026-06-21
days_post_launch: 6
pre_mortem_existed: true
pre_mortem_date: 2026-05-15
okr_result:
objective: "Accelerate enterprise adoption"
krs_achieved: 2
krs_partial: 1
krs_missed: 0
achievement_rate: 1.0
wins_categories:
positioning: "Anchor resonated with dev personas (70% CTR)"
sales_execution: "Champion adoption: 8/10 early accounts in first week"
speed: "Launch prepped in 2 weeks (ahead of 3-week plan)"
gaps_categories:
champion_alignment: "IT integration team not aligned until day 3 (48-hour delay)"
competitive_response: "Competitor launched same day, lost positioning differentiation"
post_sales_prep: "Onboarding docs not ready, support flooded day 1-2"
risks_materialized:
- "Champion alignment" # from pre-mortem
- "Post-sales prep"
risks_did_not_materialize:
- "Sales adoption hesitation"
pre_mortem_accuracy: 0.67
tier_assigned: "T2"
tier_warranted: "T2"
tier_assessment: "Correct"
market_response: "Better than predicted"
output_path: "/context/knowledge/retros/retro-20260621-sso-launch.md"
guardrails_triggered:
- "Champion alignment gap (48 hours). This is the 2nd launch with this issue. Recommendation: add 'Champion & IT alignment' to all future launch checklists."
- "Post-sales prep gaps confirmed again. Add to pre-mortem: 'Are support docs + training ready 1 week before launch?'"
- "Pre-mortem accuracy: 67%. We're good at identifying risks but slow at predicting timing. Recommendation: add 'What day will this happen?' to pre-mortem risk definition."
brain_updates_proposed:
- "Section 7: Timeline assumption +48 hours for champion alignment"
- "Section 7: Post-sales prep must be done 7 days pre-launch"
- "Section 7: Competitive response timing is 24-48 hours (not 1 week)"
This feeds into meta-synthesis skill (monthly) which detects patterns across all retros and updates brain + /context/meta-patterns.md.
Step 10: Deliver Output and Run Self-Improvement
Deliver the retro summary (see Outputs section). Then run the self-improvement loop: write session file → update knowledge base → log decisions → run quality gate → propose brain updates. ---
Outputs
- Files written:
/context/skill-sessions.md— row appended with session metadata and guardrails (NEW)sessions/YYYY-MM-DD-[cycle].md— session file after every retro.knowledge/retro-patterns/hypotheses.md— new patterns observed 1–2 times.knowledge/retro-patterns/rules.md— patterns confirmed 3+ times (approval required).decisions/YYYY-MM-DD-[topic].md— structural decisions made during the session./foundation/brain.mdSection 7 — updated with learnings (if approved)/foundation/brain.mdSection 2 — updated with anti-ICP signals (if discovered)
- Chat output format: Retro summary in the template below. Markdown formatted for copy-paste into Notion or Google Docs.
- External side effects: None beyond context writes.
## GTM Retrospective — [Cycle Name] — [Date]
**Format used:** [A / B / C]
### Outcome Anchor
- **OKR:** [Objective] | **KRs:** [list] | **Result:** [metric] | **Tier assigned / warranted:** [T2 / T2]
### Pre-Mortem Correlation (NEW)
- **Predicted 8 risks, 5 materialized, 2 missed, 1 avoided**
- Tiger risks that materialized: [list]
- Tiger risks that didn't: [list]
- Pre-mortem accuracy: [67%]
### Top Themes
| # | Theme | Type | Root cause | Recurring? | Cross-skill signal? |
|---|---|---|---|---|---|
| 1 | | | | | |
### Action Items
| # | Action | KR | Owner | By | Metric |
|---|---|---|---|---|---|
| 1 | | | | | |
### Brain Updates Proposed (NEW)
- **Section 7 (Meta-Learnings):** [Learnings to encode]
- **Section 2 (Anti-ICP):** [Anti-signals discovered, if any]
- **Status:** Awaiting approval
### Carry-over from Last Retro
- [Previous action] — [Done / In Progress / Not Started]
### One PMM Takeaway
[Single sentence: most important structural change before next cycle]
Verification
- Guardrails checked before intake (Step 0) — patterns from prior launches surfaced.
- Cycle name and at least one OKR confirmed before output generated.
- Retro format (A/B/C) selected and stated.
- Every theme has a named structural root cause — not "communication."
- Every action item links to a KR or is explicitly backlogged.
- Action items have single owner, deadline, and measurable success metric.
- Tier assessment run and gap stated.
- Pre-mortem correlation checked and logged (if pre-mortem exists).
- Brain update proposals surfaced with approval gates.
- Session file written to
sessions/. - Data logged to
/context/skill-sessions.md. - Quality gate scored before output delivered as final.
Do Not Use For
- hs-pre-mortem — for risk analysis before a launch, not after. Run this skill on a completed cycle; run
hs-pre-mortemon the next planned one. - hs-brainstorm-okrs — if the retro surfaces KR design failure, use
hs-brainstorm-okrsto rebuild the measurement plan. Don't rebuild OKRs inside a retro session. - hs-gaccs-brief — if the retro surfaces a campaign or messaging failure, use
hs-gaccs-briefto rebuild the brief for the next cycle. - hs-competitive-battlecard — if competitive displacement is the root cause, route there for the battlecard work. Don't run competitive analysis inside a retro.
Operating Rules
- Guardrails first. Load
/context/meta-patterns.mdat pre-flight. Surface guardrail prompt if pattern matches this launch type. - OKR anchoring is mandatory. A retro without OKRs is not a retro — it's a venting session. Stop and get OKRs before proceeding.
- Root causes must be structural. "Communication" is never a root cause. Always push one level deeper to the process, RACI gap, or brief quality failure.
- Max 3 action items. More than 3 means priorities aren't clear. Force the choice.
- Single owner only. Shared ownership = no ownership. Name one person.
- Carry-over first. If prior retro items aren't done, address that before adding new ones. Track why the prior action stalled.
- Tier assessment on every retro. Always compare tier assigned vs. tier warranted. Tier mismatch is the most common under-diagnosed root cause.
- Pre-mortem correlation is automatic. Compare pr
…
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: stefanoskarakasis
- Source: stefanoskarakasis/Product-Marketing-Skills
- License: MIT
- Homepage: https://stefanoskarakasis.substack.com/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.