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deep-productivity

977 instalações · hexbee/hello-skills

Open source Repository Open in the app JSON README (API)

About

Skill publicada por hexbee/hello-skills, com 977 instalações medidas pelo skills.sh. Instale com: npx skills add hexbee/hello-skills@deep-productivity

Details

Kind
Agent skills
Topic
No topic detected
Publisher
hexbee
Origin
skillssh
Category
ferramentas
Stars
2
Last push
2026-08-23T08:40:09Z
Repository state
ativo
Language
HTML
Added
2026-08-30 15:22:51
Updated
2026-08-30 15:22:51
Origin id
hexbee/hello-skills/deep-productivity

README

# Hello Skills

A curated collection of reusable agent skills for the [Agent Skills ecosystem](https://agentskills.io).

## 1. About Agent Skills (`agentskills.io`)

[Agent Skills](https://agentskills.io) defines an open format for packaging and sharing agent capabilities as portable skills.

Each skill is usually organized as a folder with a `SKILL.md` file, and can include:
- clear usage instructions
- references and templates
- helper scripts

This makes skills easy to discover, reuse, and version across different agent runtimes.

## 2. Skills in This Repository

This repository currently includes the following skills (34):

- `agent-first-product-strategy`: Reframe AI product strategy from human-first assumptions to agent-first positioning, metrics, and execution.
- `agent-teams-guide`: Guide for orchestrating and controlling Claude Code agent teams.
- `analogy-commentary`: Turn source content into a familiar analogy framework, then produce concise commentary angles and a short take.
- `bento-slides`: Create, edit, and validate self-contained Bento HTML presentations with charts, tables, morph transitions, interactive states, motion, media, and speaker notes.
- `china-model-selection-guide`: Compare China LLMs with practical, scenario-based model selection guidance.
- `claim-ledger`: Turn research claims into a verifiable Claim-Evidence-Boundary ledger.
- `codex-deep-research`: Run web-first deep research for comparisons, evaluations, market scans, and citation-heavy recommendations.
- `cross-domain-thinking-toolbox`: 25 professional mental models for complex problem solving.
- `debog-yourself`: Diagnose and escape psychological traps that block progress.
- `deep-productivity`: Deep-work productivity framework (Building, Maintenance, Recovery).
- `defrag`: Analyze code for refactoring opportunities and suggest the top 10 highest-value improvements.
- `doko-page-reader`: Read and extract content from web pages via a locally connected Chrome browser and Dokobot bridge.
- `ears-requirements`: Rewrite and validate requirements using EARS syntax.
- `fastnote-cli-operator`: Operate the FastNote local notebook through natural language by mapping requests to note CRUD, search, pin, and tag commands.
- `fix-orbstack-docker-pull`: Diagnose and fix Docker image pull failures on macOS with OrbStack (proxy, TUN, fake-ip, registry issues).
- `follow-builders-lite`: Lightweight AI builders digest from the upstream zarazhangrui/follow-builders GitHub Actions feeds.
- `hn-to-x-poster`: Review the current top Hacker News stories, select software or AI items, and publish a Chinese thread of at least 3 posts to X from an already logged-in browser session.
- `hn-top10`: Fetch the current top Hacker News stories as structured agent-friendly output.
- `instreet-operator`: Operate InStreet forum and Playground workflows through a bundled Python client with restored local account state.
- `learning-first-principles`: Diagnose and optimize learning methods with first-principles thinking.
- `longitudinal-cross-sectional-research`: Write deep research reports that combine longitudinal history with cross-sectional comparison.
- `m365-oauth-mail`: Read Microsoft 365 / Office 365 school or corporate mail with OAuth2 device-code flow when password IMAP is disabled by the tenant.
- `multi-agent-systems`: Design orchestrator-subagent LLM architectures.
- `mungers-lattice`: Multidisciplinary decision analysis with Munger-style mental models.
- `optimize-gpt-5-6-prompts`: Review, simplify, migrate, and create prompts for GPT-5.6 and the GPT-5.6 family.
- `qm-reader-data`: Read articles, sources, and translations from the QMReader backend (rss.qiaomu.ai) via a bundled Python script with zero dependencies. Flags disabled feed sources in listings and explains 404s instead of failing silently.
- `research-content-router`: Route research-to-content workflows from research through synthesis to publishable output.
- `resume-builder`: Generate and revise job resumes from raw notes, existing resumes, career histories, or profile snippets.
- `retrospective-master`: Structured retrospective coaching using the GRAI method.
- `saas-agent-toolkit`: Turn SaaS capabilities into agent-usable tool contracts with guardrails, approvals, and auditability.
- `url-to-markdown`: Convert a public webpage URL into a reusable Markdown file with a bundled script and agent-friendly execution flow.
- `vibe-design`: Design, specify, implement, or review AI-native and Agent product interfaces with product intent, domain semantics, GenUI/A2UI controls, and evidence-based evaluation.
- `x-thread-poster`: Post multi-part X/Twitter threads through Chrome DevTools MCP using the user's logged-in browser session.
- `x-tweet-ego`: Post single tweets to X (Twitter) with ego-browser, with a battle-tested flow and known pitfalls (contenteditable composer, dual composer selectors, background-tab rAF freeze, React state sync).

## 3. Quick Start

Install this skill pack:

```bash
npx skills add https://github.com/hexbee/hello-skills
```

## 4. Related Links

- [Agent Skills Doc](https://agentskills.io)
- [Anthropic Skills](https://github.com/anthropics/skills)
- [Skills Specification](https://agentskills.io/specification)
- [Skills NPM](https://www.npmjs.com/package/skills)
- [Vercel Agent Skills](https://github.com/vercel-labs/agent-skills)

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