Results for “pr”

Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.

Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.

Use this skill for dark mode tokens, contrast, theme persistence, system preference, color scheme QA. Trigger when the task involves web design work related to Dark Mode Theme System, implementation, audits, debugging, strategy, or validation.

Cold email and outreach sequence design with personalization, deliverability optimization, follow-up cadence, and compliance (CAN-SPAM/GDPR). Use when the user asks about cold email, outreach sequences, email prospecting, cold outreach, or email deliverability for outbound.

First-contact orientation for an unfamiliar codebase. Use when "I'm new to this repo", "orient me", "explain this codebase", "what does this do?", "onboard me", "first day on this project", or "catch me up on the codebase".

Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.

Use when deciding which pnas-* sub-skill to invoke next, or when sequencing a manuscript from significance test through reviewer rebuttal for PNAS (Proceedings of the National Academy of Sciences). Routes — it does not replace — the specialized skills.

Triage and orient GitHub repository, pull request, and issue work through the connected GitHub app. Use when the user asks for general GitHub help, wants PR or issue summaries, or needs repository context before choosing a more specific GitHub workflow.

Initialize and manage AC Framework spec-driven workflows using acfm CLI. Use when setting up spec workflows, checking project status, creating changes, or understanding the .acfm/ vs openspec/ directory structures. Essential first step before using any OpenSpec skills.

When the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies. Also use when the user mentions 'churn,' 'cancel flow,' 'offboarding,' 'save offer,' 'dunning,' 'failed payment recovery,' 'win-back,' 'retention,' 'exit survey,' 'pause subscription,' 'involuntary churn,' 'people keep canceling,' 'churn rate is too high,' 'how do I keep users,' or 'customers are leaving.' Use this whenever someone is losing subscribers or wants to build systems to prevent it. For post-cancel win-back email sequences, see emails. For in-app upgrade paywalls, see paywalls.

Generates AI-ready context files for any codebase by auto-detecting the tech stack, scoring AI-readiness, and producing a portable .faf file that works across AI tools.

Apply consistent photo adjustments across a set of images so they look like they were edited together, using Adobe tools for color, tone, cropping, and optional selective enhancements.

Analyzes music listening data from Apple Music or Spotify exports to build a taste profile, then generates personalized playlists with AI-generated songs and album covers.

Syncs App Store metadata with App Store Connect using the canonical asc metadata workflow, including pull, validate, preview, and apply steps for app-info and version localization fields.

Audits AGENTS.md and CLAUDE.md files for bloat, redundancy, and ineffective rules, then runs A/B evals to prove which instructions are dead weight.

Programmatically access Google NotebookLM via reverse-engineered RPC calls, managing notebooks, adding sources, querying, and generating or downloading artifacts like audio, video, quizzes, and slide decks.

Embody John Cage to reframe creative blocks through chance operations, silence, and non-intentional action, helping users let go of control and discover emergent structures.

Interact with Instagram from the command line: view feeds, posts, profiles, and comments, search users and hashtags, and perform engagement actions like liking, commenting, and following using cookie-based authentication.

Run an AI Startup division meeting with the seven AI Startup agents (no AI Lab agents). Use when the user requests to "start a startup meeting", "convene the startup team", or "run a sprint review for the product".

Composite skill — configure a fresh or under-configured repo for the release-branch workflow in one pass. Creates the `release` branch on origin, seeds `CHANGELOG.md` (Keep-a-Changelog format), drops in `.claude/dep-sweep-config.json` + `.claude/branch-hygiene-config.json` + a `release-cadence.md` standard stub, opens a `chore/repo-bootstrap` PR to main. Use instead of manually setting these up before the first `/pr-to-release` — without this, none of the release-branch composites can fire. Idempotent: skips any artifact that already exists. Replaces ad-hoc "set up the new repo" scripts.

Turns a rough request into working software via a governed build loop: align first, plan, then iterate one task at a time with deterministic backpressure and holdout-scenario judging.

Shape, bet, and build products using the 37signals philosophy from Getting Real, Rework, and Shape Up — fix time, flex scope, and ship with small autonomous teams.

Decode an incoming message into a structured breakdown that separates the literal ask from the job-to-be-done, before replying to a loaded Slack ping, email, mandate, or escalation.

Routes Salesforce Flow Builder requests to the correct skill package among 63 available, covering record-triggered, screen, scheduled, and orchestration flows, bulkification, fault handling, limits, and testing.

Writes Alan Hirsch's 8-week transformational course content, including video scripts, readings, case studies, reflection questions, and field experiments, in his voice with formation-over-information pedagogy.

Migrates an Android XML View to Jetpack Compose using a structured 10-step process, from candidate selection and analysis to theming, layout conversion, validation, and cleanup.

Provides end-to-end job search support through five specialized agents: story mining, job recommendation, resume optimization, mock interviews, and skill gap analysis, with scripts to generate resume files in multiple formats.

Tighten annotations in existing Python code with a focused, low-churn workflow based on Honnibal's tighten-types skill. Use to improve changed files, remove avoidable Any, make container and return types precise, or reduce type-checker errors without broad refactoring.

Runs a three-layer verification pipeline on AI-generated output: extracts verifiable claims, finds supporting or contradicting sources via web search, and produces a structured verification report with source links for human review.

Provides patterns and lived experience from an AI partner in a long-term creative partnership, helping AI agents build trust, match energy, push back constructively, and support human breakthroughs.

Use when planning a STOC (ACM Symposium on Theory of Computing) project calendar — backward planning to the early-November deadline, the STOC/FOCS alternating two-deadline year that theory groups schedule around, full-version and camera-ready milestones, and the June TheoryFest endpoint.

General GitHub workflow — branching, commits, pull requests, code review, secrets hygiene, submodules, and git worktrees. Use when the user wants to save changes, push to GitHub, open a PR, work with a submodule, set up a worktree, or perform any git/GitHub operation.

Compresses AI agent output tokens by up to 65% using a terse, article-free communication style while preserving full technical accuracy. Supports multiple intensity levels and auto-disables for security warnings or ambiguous instructions.

Scans installed or specified agent skills for advertising, covert commercial intent, task hijacking, suspicious external calls, and sensitive-data access. Reports findings first and quarantines only after explicit user confirmation.

Guide for translating code between programming languages. Use when converting code from one language to another, planning language migrations, understanding conversion challenges, asking about type mappings, idiom translations, or referencing pattern mappings. Covers APTV workflow, type systems, error handling, concurrency, and language-specific gotchas.

Audits a project's agent configuration files, establishes a source-of-truth skills directory, normalizes naming, and generates bridge files to make the workspace consistent across Claude Code, Codex, Grok, and generic Agents.