agentleFS
baofeng-techbaofeng-tech/agent-skills-so/last30days/SKILL.md

last30days

Skill0 starsChanged 7 months agoMITView on GitHub

Research the last 30 days across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and grounded web search. Returns a ranked, clustered brief with citations. Use when the task needs recent social evidence, competitor comparisons, launch reactions, trend scans, or person/company profiles.

  • Reads credentials

44 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use social-card-gen, newsletter-creation-curation and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • BrianRWagnerSkill

    social-card-gen

    Generate platform-specific social post variants (Twitter/X, LinkedIn, Reddit) from one source input. Works with or without Node.js script. Includes platform reasoning, quality review, and guardrails against cross-posting spam.

    Also in 4 projects that use this

  • BrianRWagnerSkill

    newsletter-creation-curation

    Industry-adaptive B2B newsletter creation with stage, role, and geography-aware workflows

    Also in 3 projects that use this

  • AlekseiULSkill

    TubeScribe

    YouTube video summarizer with speaker detection, formatted documents, and audio output. Works out of the box with macOS built-in TTS. Optional recommended tools (pandoc, ffmpeg, mlx-audio) enhance quality. Requires internet for YouTube access. No paid APIs or subscriptions. Use when user sends a YouTube URL or asks to summarize/transcribe a YouTube video.

    Also in 3 projects that use this

  • GPTtangSkill

    deep-research-pro

    Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.

    Also in 3 projects that use this

  • kunwl123456Skill

    reddit-insights

    Search and analyze Reddit content using semantic AI search via reddit-insights.com MCP server. Use when you need to: (1) Find user pain points and frustrations for product ideas, (2) Discover niche markets or underserved needs, (3) Research what people really think about products/topics, (4) Find content inspiration from real discussions, (5) Analyze sentiment and trends on Reddit, (6) Validate business ideas with real user feedback. Triggers: reddit search, find pain points, market research, user feedback, what do people think about, reddit trends, niche discovery, product validation.

    Also in 3 projects that use this

  • shrgangulySkill

    plan-my-day

    Generate a comprehensive daily plan for Product Managers including emails, messages, focus work, and calendar. Saves to Obsidian Vault automatically. Use every morning to structure your day.

    Also in 3 projects that use this

  • +1 more from BrianRWagner

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 43 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Fail-soft: if one source errors or times out, the brief still renders with the others and notes the gap.

    line 124

“Common” is measured: kept by at least 6 in 10 of the 43 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

last30days 📰

30-day multi-source research brief for autonomous agents. Powered by AIsa.

One API key. Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and grounded web search — merged into a single ranked brief.

Compatibility

Works with any agentskills.io-compatible harness, including:

  • Claude Code and Claude
  • OpenAI Codex
  • Cursor
  • Gemini CLI
  • OpenCode, Goose, OpenClaw, Hermes
  • and other harnesses that implement the Agent Skills specification

Requires Python 3, a POSIX shell, and AISA_API_KEY (get one at aisa.one).

Example requests

Trend scan

"last30days OpenAI Agents SDK"

Competitor comparison

"last30days Claude Code vs Codex"

Person or company profile

"last30days Peter Steinberger"

Launch reaction

"last30days GPT-5 launch --deep"

Prediction-market angle

"last30days bitcoin price"

Quick start

# 1. Export your AIsa key
export AISA_API_KEY=sk-...

# 2. First-run setup (interactive — picks planner / rerank / fun-scorer models)
bash scripts/run-last30days.sh setup

# 3. Research a topic
bash scripts/run-last30days.sh "OpenAI Agents SDK"

Common flags

# Low-latency profile (fewer candidates per source)
bash scripts/run-last30days.sh "$ARGUMENTS" --quick

# Higher-recall profile
bash scripts/run-last30days.sh "$ARGUMENTS" --deep

# Machine-readable output (full plan + candidates + clusters)
bash scripts/run-last30days.sh "$ARGUMENTS" --emit=json

# Restrict to specific sources
bash scripts/run-last30days.sh "$ARGUMENTS" --search=reddit,x,grounding

# Check provider / source availability
bash scripts/run-last30days.sh --diagnose

Inputs and outputs

Input. A topic, person, company, product, or comparison — for example: OpenAI Agents SDK, OpenClaw vs Codex, or Peter Steinberger.

Output. A markdown brief by default, or JSON with:

  • query_plan — planner-generated subqueries and source weights
  • ranked_candidates — reranked candidate pool with scores
  • clusters — semantically grouped findings
  • items_by_source — per-source item lists with dates, engagement, and URLs
  • provider_runtime — which models and retrieval backends ran
  • errors_by_source — any source-level failures (fail-soft)

When to use

  • You need recent evidence from the last 30 days about a person, company, product, market, tool, or trend.
  • You want a ranked competitor comparison, launch-reaction summary, creator or community sentiment scan, or shipping update.
  • You want a structured JSON brief to feed into another agent.

When not to use

  • Timeless reference questions with no recent-evidence requirement.
  • Tasks where you only want one official source and do not want social or community signals.

Capabilities

  • AISA-powered: planner (structured JSON query plan), reranker (relevance ordering), fun-scorer (meme or quirk signal), and hosted retrieval for X, YouTube, TikTok, Instagram, Polymarket, and grounded Tavily web search.
  • Public paths (no extra credentials): Reddit and Hacker News.
  • GitHub via the official API when GH_TOKEN or GITHUB_TOKEN is set — optional.
  • Fail-soft: if one source errors or times out, the brief still renders with the others and notes the gap.

Model configuration

The skill makes three LLM calls per run. Each role is independently pinnable via ~/.config/last30days/.env:

LAST30DAYS_PLANNER_MODEL=qwen-flash           # fast + reliable JSON
LAST30DAYS_RERANK_MODEL=qwen-plus-2025-12-01  # quality ranking
LAST30DAYS_FUN_MODEL=qwen-flash               # cheap vibes

Or set AISA_MODEL=... for a single model across all three roles. Run last30days setup to pick interactively — the picker fetches the live catalog from aisa.one/docs/guides/models.

API reference

last30days calls the following AIsa endpoints directly. See the full API Reference for the complete catalog.

Reddit and Hacker News use their respective public APIs directly (no AISA proxy required).

Requirements

  • Python 3.12+
  • AISA_API_KEY — required. Get one at aisa.one.
  • GH_TOKEN / GITHUB_TOKEN — optional, enables the GitHub source.
# Pin an interpreter ≥ 3.12
for py in /usr/local/python3.12/bin/python3.12 python3.14 python3.13 python3.12 python3; do
  command -v "$py" >/dev/null 2>&1 || continue
  "$py" -c 'import sys; raise SystemExit(0 if sys.version_info >= (3, 12) else 1)' || continue
  LAST30DAYS_PYTHON="$py"
  break
done

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.