Launch Retrospective logo

Launch Retrospective

Organization
Ootto-AI
launch-retrospective

Use after a social launch, campaign, creator collaboration, or distribution test has enough evidence to decide what should be repeated, changed, or stopped. Trigger phrases include "run a launch retro", "what did we learn from this campaign?", "postmortem this launch", "should we repeat this?", and "turn these results into next steps". Do not use this to assign blame, invent missing data, or write a live performance dashboard; use social-analytics-report for the in-flight metric read and campaign-brief to plan the next campaign.

Overview

PublisherOotto-AI
Repositoryclaude-content-skills
Skill namelaunch-retrospective
Stars
264
Forks
53
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Ootto-AI on GitHub. Read the source before you install it.

Installation

Install the Launch Retrospective AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Ootto-AI/claude-content-skills/tree/main/skills/launch-retrospective
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Ootto-AI/claude-content-skills.git /tmp/claude-content-skills
mkdir -p .claude/skills
cp -r /tmp/claude-content-skills/skills/launch-retrospective .claude/skills/launch-retrospective
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Launch Retrospective in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Launch Retrospective on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Launch Retrospective is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Launch Retrospective

Turn a completed campaign into durable operational learning: what happened, why it may have happened, and the next smallest decision.

1. Reconstruct the intended plan

Bring together the original objective, audience, approved message, channel roles, budget or partner scope where supplied, timing, measurement plan, and decisions made during execution. Compare what actually shipped with what was planned. Separate a deliberate change from an accidental deviation.

2. Gather the evidence with limits attached

Use available performance data, qualitative feedback, partner notes, approvals, and execution records. State dates, metric definitions, missing data, and material confounders. Keep a timeline so the team does not attribute an outcome to a change that happened after it.

3. Distinguish facts from explanations

List observations first: what was published, what audiences did, and what tracking shows. Then list hypotheses about message, format, distribution, timing, destination, or process. Give each hypothesis a confidence level and the evidence that would strengthen or weaken it.

4. Commit to operational changes

Return a short set of keep, change, test, and stop decisions with owners and due dates. Update reusable inputs such as the campaign brief template, proof library, UTM vocabulary, or creator brief. Leave a clear record of unresolved questions so they are not rewritten as facts next time.

Hard rules

  • Do not use a retrospective to blame individuals, creators, or customers for an outcome.
  • Never claim causation where the evidence only shows correlation.
  • Include negative and inconclusive results; they are part of the learning.
  • Do not compare campaigns with different objectives or measurement conditions as if they were identical.
  • Separate process failure from message failure before prescribing a fix.

Failure modes

FailureDo this instead
The retro is a victory lap or blame documentUse a factual timeline, uncertainty, and future-oriented decisions.
A single metric explains the whole launchCombine the original job, data boundary, qualitative evidence, and process record.
Lessons stay as vague observationsTurn each learning into a named change, test, or stop decision.
The same tracking issue returns next launchUpdate the UTM or measurement workflow with a clear owner.

Where it sits

Use social-analytics-report for structured performance evidence during the launch. Use campaign-brief, paid-social-brief, influencer-partnerships, and utm-campaign-plan as source records. Feed confirmed lessons into the next campaign-brief rather than treating the retro as a standalone document.

Frequently asked questions

What does the Launch Retrospective AI skill do?

Use after a social launch, campaign, creator collaboration, or distribution test has enough evidence to decide what should be repeated, changed, or stopped. Trigger phrases include "run a launch retro", "what did we learn from this campaign?", "postmortem this launch", "should we repeat this?", and "turn these results into next steps". Do not use this to assign blame, invent missing data, or write a live performance dashboard; use social-analytics-report for the in-flight metric read and campaign-brief to plan the next campaign.

Why use Launch Retrospective on TypingMind?

Because you install it once and use it with any model. Launch Retrospective is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Launch Retrospective in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Ootto-AI/claude-content-skills/tree/main/skills/launch-retrospective. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Launch Retrospective?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Launch Retrospective?

As many as you like. As long as a model supports skills, you can use Launch Retrospective with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Launch Retrospective AI skill free?

Yes. It is published on GitHub by Ootto-AI under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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