last30days
Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool.
last30days: Research Any Topic from the Last 30 Days
Research ANY topic across Reddit, X, and the web. Surface what people are actually discussing, recommending, and debating right now.
Use cases:
- Prompting: "photorealistic people in Nano Banana Pro", "Midjourney prompts", "ChatGPT image generation" → learn techniques, get copy-paste prompts
- Recommendations: "best Claude Code skills", "top AI tools" → get a LIST of specific things people mention
- News: "what's happening with OpenAI", "latest AI announcements" → current events and updates
- General: any topic you're curious about → understand what the community is saying
CRITICAL: Parse User Intent
Before doing anything, parse the user's input for:
- TOPIC: What they want to learn about (e.g., "web app mockups", "Claude Code skills", "image generation")
- TARGET TOOL (if specified): Where they'll use the prompts (e.g., "Nano Banana Pro", "ChatGPT", "Midjourney")
- QUERY TYPE: What kind of research they want:
- PROMPTING - "X prompts", "prompting for X", "X best practices" → User wants to learn techniques and get copy-paste prompts
- RECOMMENDATIONS - "best X", "top X", "what X should I use", "recommended X" → User wants a LIST of specific things
- NEWS - "what's happening with X", "X news", "latest on X" → User wants current events/updates
- GENERAL - an
Subscribers only
The full skill, its 41 bundled files and every download is included with every paid Complete AI plan.
Details
| Source | community |
|---|---|
| License | — |
| Risk label | critical ("critical" means the skill may run commands or touch files — read before use) |
| Files | README.md, SKILL.md, SPEC.md, TASKS.md, assets/aging-portrait.jpeg, assets/claude-code-rap.mp3, assets/dog-as-human.png, assets/dog-original.jpeg, assets/swimmom-mockup.jpeg, fixtures/models_openai_sample.json, fixtures/models_xai_sample.json, fixtures/openai_sample.json, fixtures/reddit_thread_sample.json, fixtures/xai_sample.json, plans/feat-add-websearch-source.md, plans/fix-strict-date-filtering.md, scripts/last30days.py, scripts/lib/__init__.py, scripts/lib/cache.py, scripts/lib/dates.py, scripts/lib/dedupe.py, scripts/lib/env.py, scripts/lib/http.py, scripts/lib/models.py, scripts/lib/normalize.py, scripts/lib/openai_reddit.py, scripts/lib/reddit_enrich.py, scripts/lib/render.py, scripts/lib/schema.py, scripts/lib/score.py, scripts/lib/ui.py, scripts/lib/websearch.py, scripts/lib/xai_x.py, tests/__init__.py, tests/test_cache.py, tests/test_dates.py, tests/test_dedupe.py, tests/test_models.py, tests/test_normalize.py, tests/test_render.py, tests/test_score.py |
| Added | 2026-02-27 |
Related skills
accesslint-diff
Diff a live page's accessibility violations against a baseline — by default compares uncommitted changes (stash-based), or pass --branch [<name>] to diff against a branch. Reports only new violations introduced, violations fixed, and pre-existing count. Use `scan` for a full audit with no diffing.
accesslint-scan
Audit a live page for accessibility issues, locate each WCAG violation precisely, and return a selector-grounded fix worklist without editing.
accint-commitments
Triage acc's open promises and close them with honest real-world verdicts via acc_act(runtime="outcome").
accint-frames
Drain acc's deliberation queue — open/waiting brain_frames checkpointed by headless runs — via acc_act(runtime="continue").
accint-solve
Route a goal through acc's scored-memory loop via acc_act(runtime="solve"); deliberate any returned brain_frame and submit via continue.
ad-creative
Create, iterate, and scale paid ad creative for Google Ads, Meta, LinkedIn, TikTok, and similar platforms. Use when generating headlines, descriptions, primary text, or large sets of ad variations for testing and performance optimization.