computerlovetech

Build, run, and debug autonomous AI coding loops with the ralph CLI from ralphify (https://ralphify.co). Use whenever the user mentions ralphify, ralph, RALPH.md, "ralph loop", "loop engineering", `ralph run`, `ralph scaffold`, or asks to: set up an autonomous agent loop, run a coding agent (Claude Code, Codex, …) repeatedly with fresh context, write or fix a RALPH.md frontmatter/prompt, wire commands and {{ placeholders }} into a loop, choose or configure an agent for a loop, run loops concurrently.

Run the full ralphify release process — analyze changes, update docs, bump version, commit, push, create GitHub release, verify CI, and generate social content. Use when cutting a new release. Optional arg "patch", "minor", or "major" to skip the version bump prompt.

Set up and run autonomous AI coding loops with ralphify — no coding knowledge needed. Handles installation, creation, running, and tweaking.

Applies Ralphify's official brand colors, typography, and visual style to any artifact — landing pages, slides, diagrams, social graphics. Use when Ralphify's look-and-feel should be applied.

Install, share, sync, and create AI agent skills across coding tools (Claude Code, Cursor, Codex, OpenCode, Copilot, Pi) using the agr CLI. Use whenever the user mentions agr, agr.toml, agr.lock, agrx, or asks to: add a skill ("install the pdf skill", "agr add ..."), sync agent resources across tools, share skills with their team, scaffold a new SKILL.md, run a skill ephemerally (agrx), set up a repo to manage AI agent dependencies, or configure tools/sources/instruction-syncing. Also use whenever an agr.toml or agr.lock is present in the project and the user is doing resource-management work.

Debrief an AI agent skill (SKILL.md) after using it — capture session feedback or a retrospective and fold it back into the skill. Use whenever the user says: "debrief the X skill", "let's debrief X", "retrospective on X", "feedback on X skill", "improve the X skill", "update the X skill", "let's revise X based on what we just did", "the X skill should also handle Y", "X didn't trigger when it should have", or otherwise wants to capture lessons from a session back into the skill that drove it. Handles in-repo skills (under skills/) by editing the source, committing, and re-installing via `agr upgrade`. Handles remote/upstream skills by offering to fork them in-repo or to file a GitHub issue via `gh`. Do NOT use for greenfield skill authoring (a separate concern — see `anthropics/skills/skill-creator`) or for installing / syncing / removing skills (use the `agr` CLI directly).

Release process for the agr package. Handles version bumping (major/minor/patch/beta), changelog updates, pre-release quality checks, git tagging, and monitoring the GitHub Actions publish pipeline. Use this skill whenever the user wants to cut a release, bump the version, publish to PyPI, or asks about the release process — even if they just say "let's ship it" or "time for a new version".

Speak replies aloud through the ElevenLabs API during a conversational voice session. Use this skill whenever the user's prompt starts with "Let's talk" or "Okay, let's talk", or when the user says they want a speech session, voice session, spoken session, wants you to talk out loud, mentions using Wispr Flow or another dictation tool, or asks you to answer with ElevenLabs audio instead of normal chat. In this mode, speak first and keep visible text minimal unless the user needs to read, copy, inspect, or confirm something.

Build a high-fidelity prototypes with everything faked.

Applies Computer Love's official brand colors and typography to any sort of artifact that may benefit from having Computer Love's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.