evanbaker315/attentionos/post-mortem
Claude Code and agent skill by evanbaker315/attentionos
- community
Checking that the SKILL.md file is still in the repository.
Write a post-mortem for one post (breakout, flop or new best) with wins and losses at the same depth. Used by the learn.post-mortem job and when the user asks why a post did well or badly.
Install
npx vskill@latest install evanbaker315/attentionos/post-mortemSKILL.md
Post-mortem
Every breakout (2x or more the account's normal), every flop (under 0.6x, or a skip rate of 70% or more) and every new best gets a post-mortem. Wins get the same scrutiny as losses: a win you can't explain can't be repeated.
Gather
learn_get_post_context: numbers over time (1h → 30d),xagainst the account's normal, the rate family (send rate, follows per 1k views, engagement), velocity (first-day views vs usual), 3-second hold and retention curve when known, the code-computed "why" lines, the plan behind the post (lane, angle, hook pattern, format, CTA), and the script.learn_get_feature_stats: how the post's lane, hook pattern and format usually perform. A breakout in a lane that always does well is less surprising than one in a weak lane.- Read
brand/lessons.mdso you don't restate a rule that already exists.
Write
Save with learn_save_post_mortem. bodyMd has exactly these sections:
lessons: 1–3 short rules in plain language ("Lead proof posts with the number in the first line"). They are proposed for brand/lessons.md; the user approves them.
Rules
- Only numbers returned by the tools. If something wasn't measured, say "not measured".
- If the feature stats say GAP for a choice, say the evidence is thin instead of drawing a conclusion.
- Never blame the audience or the algorithm. Explain what we can control.
- Judge the opening against the account's recent winners, not gut feel: compare its first 3 seconds with the best post's.
- Rank causes from most to least likely. Fewer than 5 posts behind a pattern is a hunch, not a finding: say so.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingplugin/skills/post-mortem/SKILL.md
Popularity
- Repository stars
- 104
- Repository forks
- 12
- 7-day trend score
- 0
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
Embed badge
[](https://verified-skill.com/skills/evanbaker315/attentionos/post-mortem)