oracle
Best practices for using the oracle CLI (prompt + file bundling, engines, sessions, and file attachment patterns).
npx skills add majiayu000/claude-skill-registry --skill oracle-thinkfleetai-thinkfleet-engine --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# oracle — best use Oracle bundles your prompt + selected files into one “one-shot” request so another model can answer with real repo context (API or browser automation). Treat output as advisory: verify against code + tests. ## Main use case (browser, GPT‑5.2 Pro) Default workflow here: `--engine browser` with GPT‑5.2 Pro in ChatGPT. This is the common “long think” path: ~10 minutes to ~1 hour is normal; expect a stored session you can reattach to. Recommended defaults: - Engine: browser (`--engine browser`) - Model: GPT‑5.2 Pro (`--model gpt-5.2-pro` or `--model "5.2 Pro"`) ## Golden path 1. Pick a tight file set (fewest files that still contain the truth). 2. Preview payload + token spend (`--dry-run` + `--files-report`). 3. Use browser mode for the usual GPT‑5.2 Pro workflow; use API only when you explicitly want it. 4. If the run detaches/timeouts: reattach to the stored session (don’t re-run). ## Commands (preferred) - Help: - `oracle --help` - If the binary isn’t installed: `npx -y @steipete/oracle --help` (avoid `pnpx` here; sqlite bindings). - Preview (no tokens): - `oracle --dry-run summary -p "<task>" --file "src/**" --file "!**/*.test.*"` - `oracle --dry-run full -p "<
- Main use case (browser, GPT‑5.2 Pro)
- Golden path
- Commands (preferred)
- Attaching files (--file)
- Engines (API vs browser)
- Sessions + slugs
- Prompt template (high signal)
- Safety
- “Exhaustive prompt” restoration pattern
What does the oracle skill do?
Best practices for using the oracle CLI (prompt + file bundling, engines, sessions, and file attachment patterns).
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill oracle-thinkfleetai-thinkfleet-engine --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.