Pr Blocker Summarizer

CommunityPopular

FrancyJGLisboa

pr-blocker-summarizer

Summarizes open pull requests into a blockers-first standup digest. Activates when the user asks to summarize open PRs, find blocked pull requests, generate a PR standup, or triage review backlog from a PR export.

Overview

Publisher	FrancyJGLisboa
Repository	`agent-skills-platform`
Skill name	`pr-blocker-summarizer`
Stars	2.4K
Forks	264
Bundled files	19
License	MIT
Links	Skill source Repository Homepage

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.
19 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by FrancyJGLisboa on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/FrancyJGLisboa/agent-skills-platform/tree/main/references/examples/pr-blocker-summarizer

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/FrancyJGLisboa/agent-skills-platform.git /tmp/agent-skills-platform
mkdir -p .claude/skills
cp -r /tmp/agent-skills-platform/references/examples/pr-blocker-summarizer .claude/skills/pr-blocker-summarizer

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pr Blocker Summarizer 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 Pr Blocker Summarizer 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 Pr Blocker Summarizer 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.

PR Blocker Summarizer

Turn a JSON export of open pull requests into a blockers-first digest: which PRs are blocked (failing checks, requested changes, or stale), which are ready to merge, and a one-line count an agent can post to standup.

A bundled example skill — small but real, used to demonstrate the creator's validation, pipeline, and eval-rollout machinery.

Activation

Activates on "summarize open PRs", "what's blocking my PRs", "PR standup", "review backlog". Do not activate on general git/GitHub questions unrelated to triaging a set of PRs.

Input

A JSON array of PRs, each with title, state (open), checks (passing/failing), review (approved/changes_requested/pending), and age_days. Missing fields are treated conservatively (counted as not-blocked only when clearly ready).

Run

bash
python3 scripts/run_pipeline.py --input prs.json --output digest.json

Output JSON shape:

json
{
  "total": 7,
  "blocked": [{"title": "...", "reasons": ["failing checks"]}],
  "ready": ["..."],
  "summary": "7 open · 3 blocked · 2 ready to merge"
}

Gotchas

blocked + ready does not equal total. A PR is ready only when checks is explicitly passing and review is explicitly approved. A PR with no blockers but a missing checks field lands in neither list and vanishes from both counts. Never narrate the summary line as if the two numbers account for every PR — say "N blocked, M ready" and leave the remainder unclaimed.
state is read from the input but never filtered on. A closed or merged PR left in the export is counted in total and classified like any open one. Filter the export before running if it may contain non-open PRs.
review: pending counts as blocked ("awaiting review"). A PR opened five minutes ago is reported as a blocker. This is intentional for standup triage, but it inflates the blocked count on teams that open PRs early.
A non-numeric age_days silently skips the stale check rather than erroring. An export with "age_days": "unknown" will never flag anything stale, and the digest gives no sign that the check did not run.

Anti-goals

Does not call the GitHub API; it works on an exported PR list.
Does not merge or comment on PRs; it only summarizes.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

contracts/data_contract_pull_request_reviews/code/contract_health.py1 KB
discovery.json2 KB
evals/golden/case-1/expected.json1 KB
evals/golden/case-1/input.json1 KB
evals/golden/case-2/expected.json1 KB
evals/golden/case-2/input.json1 KB
evals/golden/case-3/expected.json1 KB
evals/golden/case-3/input.json1 KB
evals/pr-blocker-summarizer.eval.md2 KB
scripts/dependency_health.py4 KB
scripts/evolve.py10 KB
scripts/review_staleness.py6 KB
scripts/run_evals.py49 KB
scripts/run_pipeline.py3 KB
scripts/schema_drift.py7 KB
scripts/skill_document.py10 KB
scripts/staleness_check.py7 KB
scripts/success_ledger.py16 KB
VERIFICATION.md1 KB

Frequently asked questions

What does the Pr Blocker Summarizer AI skill do?

Why use Pr Blocker Summarizer on TypingMind?

Because you install it once and use it with any model. Pr Blocker Summarizer 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 Pr Blocker Summarizer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/FrancyJGLisboa/agent-skills-platform/tree/main/references/examples/pr-blocker-summarizer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Pr Blocker Summarizer?

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 Pr Blocker Summarizer?

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

Is the Pr Blocker Summarizer AI skill free?

Yes. It is published on GitHub by FrancyJGLisboa 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

PR Blocker Summarizer

Activation

Input

Run

Gotchas

Anti-goals

Bundled files

Frequently asked questions

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