Guide les utilisateurs à travers les commentaires de revue de PR, en les récupérant et les affichant d'abord si nécessaire, recueille les décisions de réponse par commentaire, applique les correctifs demandés, et prévisualise les réponses et résolutions GitHub avant de les publier. À utiliser lors de la réponse aux commentaires de revue de PR sur la branche actuelle.
Cette compétence, 'warpdotdev/respond-to-pr-comments-in-blocklist', automatise le processus fastidieux de réponse aux commentaires de revue de code sur les Pull Requests GitHub. Elle est particulièrement utile pour les développeurs qui souhaitent gérer efficacement les retours de leurs pairs directement depuis leur éditeur ou terminal, sans avoir à basculer constamment entre l'interface GitHub et leur environnement de développement. La compétence fonctionne en parcourant d'abord les commentaires de la PR en cours, en affichant chacun d'eux à l'utilisateur, puis en collectant ses décisions de réponse (correction, explication, ou demande de clarification). Elle applique ensuite automatiquement les modifications de code suggérées dans le fichier approprié, puis prévisualise les réponses GitHub (commentaires et résolutions) avant de les publier. Elle est conçue pour les agents IA comme Claude Code, Cursor ou Codex, et son fonctionnement est entièrement documenté dans le fichier SKILL.md associé.
npx skills add https://github.com/warpdotdev/common-skills/tree/main/skills/respond-to-pr-comments-in-blocklistInstalled? Explore more Développement et programmation skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →
Guide les utilisateurs à travers les commentaires de revue de PR, en les récupérant et les affichant d'abord si nécessaire, recueille les décisions de réponse par commentaire, applique les correctifs demandés, et prévisualise les réponses et résolutions GitHub avant de les publier. À utiliser lors de la réponse aux commentaires de revue de PR sur la branche actuelle.
This repo contains 16 individual skills — each has its own dedicated page.
Guides creation, revision, and review of Warp- or Oz-branded assets. Use when working on launch pages, docs, HTML/CSS components, UI mockups, prompts, social assets, copy, presentations, or any other branded deliverable that should look and sound unmistakably Warp or Oz.
Compare a pull request's implementation against spec context in spec_context.md and feed any material mismatches into review.json. Use during PR review when approved or repository spec context is available.
Run a model-diverse subagent council to investigate the same problem from multiple perspectives, compare findings, and produce a final recommendation. Use this skill whenever the user asks for a council, second opinions, multiple agents/models to evaluate one question, parallel investigation, red-team/blue-team comparison, or help deciding between competing technical approaches.
Create a pull request in the warp repository for the current branch. Use when the user mentions opening a PR, creating a pull request, submitting changes for review, or preparing code for merge.
Diagnose CI failures for a PR using the GitHub CLI, extract error logs, and generate a plan to fix them. Use when the user asks to check CI status, pull CI issues, triage test failures, or investigate PR build failures.
Fix compilation errors, linting issues, and test failures in the warp Rust codebase. Covers presubmit checks, WASM-specific errors, and running specific tests. Use when the user hits build errors, clippy or fmt failures, test failures, or needs to run or interpret presubmit before a PR.
Implement an approved feature from PRODUCT.md and TECH.md, keeping specs and code aligned in the same PR as implementation evolves. Use after the product and tech specs are approved and the next step is building the feature.
Generate a static interactive D3 walkthrough of a pull request. Use when the user wants a zoomable PR map, graph/canvas PR orientation, or alternate visualization of PR system components, data flow, code dependencies, and user actions.
Launch Oz cloud agents with computer use to reproduce UI-focused bug reports, capture visual evidence, and report reproduction findings. Use when investigating a specific interactive or visual bug from an issue, ticket, support report, or prompt.
Resolve Git merge conflicts by extracting only unresolved paths, conflict hunks, and compact diffs instead of loading whole files into context. Use when a merge, rebase, cherry-pick, or stash pop stops on conflicts, when `git status` shows unmerged paths, or when files contain conflict markers.
Review a pull request diff and write structured feedback to review.json for the workflow to publish. Use when reviewing a checked-out PR from local artifacts like pr_diff.txt and pr_description.txt and producing machine-readable review output instead of posting directly to GitHub.
Drive a spec-first workflow for substantial features by writing PRODUCT.md before implementation, writing TECH.md when warranted, and keeping both specs updated as implementation evolves. Use when starting a significant feature, planning agent-driven implementation, or when the user wants product and tech specs checked into source control.
Create or update skills by generating, editing, or refining SKILL.md files in this repository. Use when authoring new skills or revising the structure, frontmatter, or guidance for existing ones.
Validate that a branch or pull request implementation matches introduced product, technical, security, and related specs. Use when reviewing or finishing a spec-driven change and resolving mismatches between checked-in specs and implementation.
Write a PRODUCT.md spec for a significant user-facing feature in Warp, focused on detailed behavior and validation. Use when the user asks for a product spec, desired behavior doc, or PRD, wants to define feature behavior before implementation, or when the feature is substantial or behaviorally ambiguous enough that a written spec would improve implementation or review.
Write a TECH.md spec for a significant Warp feature after researching the current codebase and implementation constraints. Use when the user asks for a technical spec, implementation plan, or architecture doc tied to a product spec.
Send and manage iMessages via BlueBubbles, including attachments, tapbacks, edits, replies, and groups.
Control Eight Sleep pods (status, temperature, alarms, schedules).
BluOS CLI (blu) for discovery, playback, grouping, and volume.
Create, search, and manage Bear notes via grizzly CLI.
Capture frames or clips from RTSP/ONVIF cameras.
Search GIF providers with CLI/TUI, download results, and extract stills/sheets.