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.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionoracleExecute the skills CLI command in your project's root directory to begin installation:
Fetches oracle from steipete/clawdis and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate oracle. Access via /oracle in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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.
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)--model gpt-5.2-pro or --model "5.2 Pro")--dry-run + --files-report).Help:
oracle --helpnpx -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 "<task>" --file "src/**"Token sanity:
oracle --dry-run summary --files-report -p "<task>" --file "src/**"Browser run (main path; long-running is normal):
oracle --engine browser --model gpt-5.2-pro -p "<task>" --file "src/**"Manual paste fallback:
oracle --render --copy -p "<task>" --file "src/**"--copy is a hidden alias for --copy-markdown.--file)--file accepts files, directories, and globs. You can pass it multiple times; entries can be comma-separated.
Include:
--file "src/**"--file src/index.ts--file docs --file README.mdExclude:
--file "src/**" --file "!src/**/*.test.ts" --file "!**/*.snap"Defaults (implementation behavior):
node_modules, dist, coverage, .git, .turbo, .next, build, tmp (skipped unless explicitly passed as literal dirs/files)..gitignore when expanding globs.--file ".github/**").api when OPENAI_API_KEY is set; otherwise browser.--engine api for Claude/Grok/Codex or multi-model runs.--browser-attachments auto|never|always (auto pastes inline up to ~60k chars then uploads).oracle serve --host 0.0.0.0 --port 9473 --token <secret>oracle --engine browser --remote-host <host:port> --remote-token <secret> -p "<task>" --file "src/**"~/.oracle/sessions (override with ORACLE_HOME_DIR).oracle status --hours 72oracle session <id> --render--slug "<3-5 words>" to keep session IDs readable.--force only when you truly want a fresh run.Oracle starts with zero project knowledge. Assume the model cannot infer your stack, build tooling, conventions, or “obvious” paths. Include:
.env, key files, auth tokens). Redact aggressively; share only what’s required.For long investigations, write a standalone prompt + file set so you can rerun days later:
Oracle runs are one-shot; the model doesn’t remember prior runs. “Restoring context” means re-running with the same prompt + --file … set (or reattaching a still-running stored session).
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
We added oracle from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: oracle is focused, and the summary matches what you get after install.
oracle fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: oracle is the kind of skill you can hand to a new teammate without a long onboarding doc.
oracle reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for oracle matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for oracle matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: oracle is the kind of skill you can hand to a new teammate without a long onboarding doc.
oracle reduced setup friction for our internal harness; good balance of opinion and flexibility.
oracle has been reliable in day-to-day use. Documentation quality is above average for community skills.
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