Antigravity Awesome Skills is now on X @AASkills_
- The best skills for AI coding agents.
- Daily workflows, prompts, and repo updates.
- Trusted by 37K+ GitHub stargazers⭐
Example prompt: Use runaway-guard to review this image-generation job before I ship it. Identify every unbounded paid API path, write the cost contract, choose MAX_CALLS and concurrency limits, and tell me which provider hard cap must be set.
Daily Skill #008: runaway-guard. For any agent, retry loop, queue, webhook, or batch job that touches a paid AI API. It makes the assistant write the wallet invariant first: max calls, max $ per run, max $ per day, concurrency, retries, and the provider hard cap.
Example prompt: "Use decision-navigator. I want to change careers but I feel stuck. Ask me one branching question at a time until we reach a concrete first-week plan."
Daily Skill #007: decision-navigator. For when a user says "I don't know where to start" and a big advice dump would make it worse. It narrows uncertainty with one targeted branching question at a time, then turns the leaf into concrete next steps.
Example prompt: "Use agentic-actions-auditor to review this repo's .github/workflows for AI-agent steps, tainted GitHub event input, dangerous sandbox settings, and wildcard user allowlists. Return findings with evidence and remediation."
Daily Skill #006: agentic-actions-auditor. Audit GitHub Actions workflows that run AI coding agents. It traces attacker-controlled issue, PR, or comment data into Claude Code, Gemini CLI, Codex, and GitHub AI Inference steps before CI becomes a prompt-injection surface.
Example prompt: Use mock-hunter to audit https://my-app.example/admin. I own this app; stay observation-only first, then report which stats, buttons, tables, and links are real, hardcoded, broken, or unknown.
Daily Skill #005: mock-hunter. AI-built dashboards can look finished while every number is fake. mock-hunter audits a live page and classifies visible values as REAL, MOCK, LLM, HARDCODED, BROKEN, or UNKNOWN.
Takeaway: start by hiding generated noise, not source code. Keep manifests and .env.example visible; ignore real .env files, logs, build outputs, binaries, and local DBs.
Daily Skill #004: geminiignore-finops. Your agent should read the code you wrote, not every lockfile, build artifact, log, binary, and local database in the repo. Tune .geminiignore for smaller context, faster runs, and lower token waste.
"Use agenttrace-session-audit on my latest coding-agent run. Find token/cost spikes, failed tool paths, retry loops, and missing verification, then tell me what to change before retrying."
Daily Skill #003: agenttrace-session-audit
When an AI coding run goes sideways, this skill audits the run itself: cost spikes, tool failures, retry loops, latency gaps, shallow sessions, and what changed between attempts.
Example prompt:
"Use subagent-orchestrator to ship this feature. Map the repo first, split reader/writer/browser missions, keep each agent scoped, then integrate and run the final validation yourself."
Skill:
https://t.co/9QBBHtCeCN
Daily Skill #002: subagent-orchestrator
Big tasks break when every agent gets the whole mission.
This skill makes agents split the work first, then choose the right scoped subagent: scouting, implementation, browser checks, repair, or final integration review.