Social
coreyhaines31/marketingskills
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, or Facebook, or wants to do social listening and engagement triage.
End-to-end workflow: research a topic and then write a LinkedIn post about it.
Install Research And Write
$ npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill research-and-write -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install iusztinpaul/designing-real-world-ai-agents-workshop research-and-write --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/research-and-write .claude/skills/research-and-write && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "research-and-write" agent skill from https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/research-and-write into .claude/skills/research-and-write/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-and-write", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/research-and-writeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill research-and-write -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install iusztinpaul/designing-real-world-ai-agents-workshop research-and-write --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/research-and-write .agents/skills/research-and-write && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "research-and-write" agent skill from https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/research-and-write into .agents/skills/research-and-write/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-and-write", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill research-and-write -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install iusztinpaul/designing-real-world-ai-agents-workshop research-and-write --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/research-and-write .cursor/skills/research-and-write && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "research-and-write" agent skill from https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/research-and-write into .cursor/skills/research-and-write/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-and-write", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git --path .agents/skills/research-and-write--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill research-and-write -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install iusztinpaul/designing-real-world-ai-agents-workshop research-and-write --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/research-and-write .gemini/skills/research-and-write && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "research-and-write" agent skill from https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/research-and-write into .gemini/skills/research-and-write/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-and-write", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install iusztinpaul/designing-real-world-ai-agents-workshop research-and-writeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill research-and-write -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/research-and-write .github/skills/research-and-write && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "research-and-write" agent skill from https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/research-and-write into .github/skills/research-and-write/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-and-write", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill research-and-write -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install iusztinpaul/designing-real-world-ai-agents-workshop research-and-write --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/research-and-write .opencode/skills/research-and-write && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "research-and-write" agent skill from https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/research-and-write into .opencode/skills/research-and-write/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-and-write", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
research-and-write- GitHub stars
- 512
- Token cost
- ~660 tokens
- SKILL.md length
- 247 words
- Files
- 1
- Skills in repo
- 23
- Repo updated
- First seen
- Licence
- MIT
At a glance
End-to-end workflow: research a topic and then write a LinkedIn post about it.
- Works in 2 steps: Research → Write
- The user wants the full pipeline — from a topic idea to a finished LinkedIn post
- SKILL.md covers Input Preparation, Working Directory, Execution and After Completion
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Research And Write is an agent skill from iusztinpaul/designing-real-world-ai-agents-workshop. End-to-end workflow: research a topic and then write a LinkedIn post about it. Use this skill whenever the user wants the full pipeline — from a topic idea to a finished LinkedIn post. Triggers on: 'research and write a post about', 'create a LinkedIn post about [topic]', 'I want to post about', 'write about [topic] for LinkedIn', or any request that implies both researching a subject and producing a LinkedIn post from it. This is the go-to skill when the user gives you a topic and expects a finished post.
Its SKILL.md is about 660 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Writing & Content, covering Social media posts. It works with LinkedIn. The repository describes itself as: Hands-on workshop: Build a multi-agent AI system from scratch — Deep Research Agent + Writing Workflow served as MCP servers. Includes code, slides, and video. The licence is MIT.
When your agent uses it
- The user wants the full pipeline — from a topic idea to a finished LinkedIn post
- : research and write a post about
- Create a LinkedIn post about [topic]
- I want to post about
Example prompts
- “research and write a post about”
- “create a LinkedIn post about [topic]”
- “I want to post about”
- “/research-and-write”
Workflow steps
2 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit ea4f6e9. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Research And Write loads about 660 tokens when it runs. Until then it costs about 133 tokens; SKILL.md has 247 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from iusztinpaul/designing-real-world-ai-agents-workshop at commit ea4f6e9, republished under its MIT licence (© iusztinpaul). 247 words, ~660 tokens.
Download SKILL.mdSave it as
.claude/skills/research-and-write/SKILL.md (or your agent's skills folder).- name
- research-and-write
- description
- End-to-end workflow: research a topic and then write a LinkedIn post about it. Use this skill whenever the user wants the full pipeline — from a topic idea to a finished LinkedIn post. Triggers on: 'research and write a post about', 'create a LinkedIn post about [topic]', 'I want to post about', 'write about [topic] for LinkedIn', or any request that implies both researching a subject and producing a LinkedIn post from it. This is the go-to skill when the user gives you a topic and expects a finished post.
Research and Write
End-to-end workflow: research a topic, then write a LinkedIn post from it. Chains the deep-research and linkedin-writer MCP servers.
Input Preparation
Gather from the user:
- Topic — what to research
- Guideline — how the post should be written (becomes
guideline.md)
If the user only gives a topic, ask for the guideline details (angle, audience, key points, tone) or suggest a default based on the topic.
Working Directory
All output goes into outputs/{slug}/ relative to the project root. Derive the slug from:
- The dataset seed/guideline filename if the user references one (e.g.,
my-topic_seed.md→my-topic) - Otherwise, slugify the topic (lowercase, hyphens, no special chars, max 60 chars)
Create the directory if it doesn't exist.
Create guideline.md in the working directory:
# LinkedIn Post Guideline
## Topic
[Core topic]
## Angle
[Perspective]
## Target Audience
[Who reads this]
## Key Points to Cover
[3-5 bullets]
## Tone
[How it should sound]Execution
Phase 1: Research
Load the research_workflow MCP prompt from the deep-research server and follow the workflow instructions using the available tools:
deep_research— for web research queriesanalyze_youtube_video— for any YouTube URLs the user providescompile_research— to produce the final research.md
Use outputs/{slug}/ as the working_dir for all tool calls. This produces research.md.
Tell the user when research is complete.
Phase 2: Write
Read the WORKFLOW_INSTRUCTIONS from src/writing/routers/prompts.py and follow those steps exactly, using the linkedin-writer MCP tools. The working directory outputs/{slug}/ already has guideline.md and research.md from Phase 1.
The generate_post tool internally runs 4 evaluator-optimizer iterations (review + edit cycles) to refine the post before producing the final version.
After Completion
Present the final outputs/{slug}/post.md and outputs/{slug}/post_image.png to the user. Offer to edit with feedback.
© iusztinpaul, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .agents/skills/research-and-write of iusztinpaul/designing-real-world-ai-agents-workshop.
Open the folder on GitHubat commit ea4f6e9
Compare with similar skills
Research And Write next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Research And Write this skilliusztinpaul/designing-real-world-ai-agents-workshop | 512 | — | ~660 | Automated safety check: Pass | MIT | |
| Socialcoreyhaines31/marketingskills | 54k | 4 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Social Contentfreekmurze/dotfiles | 1k | 23 repos | ~2.1k | Automated safety check: Pass | None | |
| Linkedin Marketingsergebulaev/linkedin-skills | 4.4k | 1 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Linkedin Content Plannersergebulaev/linkedin-skills | 4.4k | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Typefullyfreekmurze/dotfiles | 1k | 1 repos | ~3.4k | Automated safety check: Notes | None |
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Linkedin Content Planner
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Typefully
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Create, schedule, and manage social media posts via Typefully.
Changelog Social Recap
FlorianBruniaux/claude-code-ultimate-guide
Turns CHANGELOG.md entries for a release or a week into LinkedIn, Twitter/X, newsletter and Slack posts in French and English.
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Related
Works with
Categories
Questions about Research And Write
What does Research And Write do?
End-to-end workflow: research a topic and then write a LinkedIn post about it. Research And Write is an agent skill from iusztinpaul/designing-real-world-ai-agents-workshop. End-to-end workflow: research a topic and then write a LinkedIn post about it.
When should I use Research And Write?
Research And Write fits situations like: the user wants the full pipeline — from a topic idea to a finished LinkedIn post; : research and write a post about; create a LinkedIn post about [topic]; I want to post about.
How do I install Research And Write in Claude Code?
Run `npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill research-and-write -a claude-code`. Or copy the skill folder (.agents/skills/research-and-write in iusztinpaul/designing-real-world-ai-agents-workshop) into .claude/skills/research-and-write in your project. Claude Code loads it when a task matches its description.
How do I install Research And Write in Codex?
Run `npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill research-and-write -a codex`. Or copy the skill folder (.agents/skills/research-and-write in iusztinpaul/designing-real-world-ai-agents-workshop) into .agents/skills/research-and-write in your project. Codex loads it when a task matches its description.
Can I use Research And Write in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill research-and-write -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-and-write, .gemini/skills/research-and-write, .github/skills/research-and-write and .opencode/skills/research-and-write in your project.
What does Research And Write need to run?
SKILL.md names no scripts, command-line tools or credentials: Research And Write is instructions for the agent only.
Does Research And Write access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Research And Write safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Research And Write use?
Research And Write is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Research And Write use?
About 660 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Research And Write?
Skills that share tags, products or a category with Research And Write: Social (coreyhaines31/marketingskills, 54k stars), Social Content (freekmurze/dotfiles, 1k stars), Linkedin Marketing (sergebulaev/linkedin-skills, 4.4k stars) and Linkedin Content Planner (sergebulaev/linkedin-skills, 4.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Research And Write?
iusztinpaul (a GitHub user) maintains it in iusztinpaul/designing-real-world-ai-agents-workshop, which has 512 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on June 3, 2026.
Source: iusztinpaul/designing-real-world-ai-agents-workshop on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.