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.
Writes LinkedIn posts in a direct, analytical, dry-humored technical voice with visual companion guidance.
$ npx skills add Mathews-Tom/armory --skill linkedin-post-style -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Mathews-Tom/armory linkedin-post-style --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/Mathews-Tom/armory.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkedin-post-style .claude/skills/linkedin-post-style && 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 "linkedin-post-style" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/linkedin-post-style into .claude/skills/linkedin-post-style/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-post-style", 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/Mathews-Tom/armory/tree/main/skills/linkedin-post-styleType 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 Mathews-Tom/armory --skill linkedin-post-style -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Mathews-Tom/armory linkedin-post-style --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/linkedin-post-style .agents/skills/linkedin-post-style && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkedin-post-style" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/linkedin-post-style into .agents/skills/linkedin-post-style/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-post-style", 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 Mathews-Tom/armory --skill linkedin-post-style -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Mathews-Tom/armory linkedin-post-style --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/linkedin-post-style .cursor/skills/linkedin-post-style && 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 "linkedin-post-style" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/linkedin-post-style into .cursor/skills/linkedin-post-style/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-post-style", 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/Mathews-Tom/armory.git --path skills/linkedin-post-style--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 Mathews-Tom/armory --skill linkedin-post-style -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Mathews-Tom/armory linkedin-post-style --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/linkedin-post-style .gemini/skills/linkedin-post-style && 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 "linkedin-post-style" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/linkedin-post-style into .gemini/skills/linkedin-post-style/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-post-style", 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 Mathews-Tom/armory linkedin-post-styleInstalls 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 Mathews-Tom/armory --skill linkedin-post-style -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/linkedin-post-style .github/skills/linkedin-post-style && 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 "linkedin-post-style" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/linkedin-post-style into .github/skills/linkedin-post-style/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-post-style", 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 Mathews-Tom/armory --skill linkedin-post-style -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Mathews-Tom/armory linkedin-post-style --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/linkedin-post-style .opencode/skills/linkedin-post-style && 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 "linkedin-post-style" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/linkedin-post-style into .opencode/skills/linkedin-post-style/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-post-style", 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.
linkedin-post-styleWrites LinkedIn posts in a direct, analytical, dry-humored technical voice with visual companion guidance.
Linkedin Post Style is an agent skill from Mathews-Tom/armory. Writes LinkedIn posts in a direct, analytical, dry-humored technical voice with visual companion guidance. Triggers on: "write this in my style", "draft a post", "rewrite this for LinkedIn", "post about this", "how should I phrase this".
Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `evals/cases.yaml` and `references/detection-patterns.md`).
It sits in Writing & Content, covering Social media posts. It works with LinkedIn. The repository describes itself as: Curated, production-grade skills for AI coding agents. Battle-tested workflows for developers who use AI seriously. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 4594fb7. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
anthropic.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Linkedin Post Style loads about 4.6k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 1,755 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.
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.
The full file from Mathews-Tom/armory at commit 4594fb7, republished under its MIT licence (© Mathews-Tom). 1,755 words, ~4,643 tokens.
.claude/skills/linkedin-post-style/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.You are writing in a specific author's voice. This is not generic "professional LinkedIn content." Study the patterns below and internalize them before writing a single word.
Informed casual. Senior engineer at a whiteboard, not a marketing deck.
Three modes, with unmarked transitions:
"Quite remarkably" is the ceiling for evaluative language. The voice acknowledges genuine capability with genuine respect but never sells. Not contrarian for sport — honest by default.
Posts follow a 5-act structure. Not rigidly, but as gravitational pull:
Hook — Specific metric + compressed timeframe. No adjective, no opinion. Just the fact.
Legend — Orient the reader. Visual or contextual decoder. Bullet-pointed only when literally mapping symbols to meaning (X = Y format). Terse.
Credibility Spike — One dense technical sentence. Comma-separated list, no commentary. Then pull back. The reader who knows the domain sees the depth; the reader who doesn't still follows.
Observation Layer — Shift from WHAT to WHY. Reframe what the reader just absorbed. This is where the author's actual perspective lives — not the marketing angle, but what a working developer notices.
Meaning Layer — Short staccato paragraphs. At most one cultural/intellectual reference with inline translation. The post peaks here philosophically, then deliberately steps down. Anti-climax by design.
Two modes for first person, depending on post type:
Default to the withholding pattern. Use early first person only when the post's authority rests on "I actually use this."
The close can also use an implicit invitation — a statement that invites response without asking for it. "I'm curious whether that holds outside compiler projects." This is not a CTA. It surfaces genuine uncertainty. Avoid degraded forms: "What do you think?", "Agree?", "Thoughts?" remain hard-blocked.
Long sentences carry information. Short sentences carry meaning.
The rhythm alternates between longer explanatory sentences that hold technical detail and short punchy fragments for emphasis:
Most agent demos show accumulation.
Files go up, nothing comes down.
This one shows iteration.Use them.
They're real and they're good.
Just don't confuse the nail gun with the person holding it.Single-sentence paragraphs are typographic percussion. They work because they're surrounded by longer passages. Don't overuse.
Asyndeton in high-impact lists — deliberate omission of "and":
Fragments at high-impact positions only.
The author occasionally drops references from philosophy, mythology, chess, history — without explanation. The reference sits alongside plain-language description so readers who don't know it still follow.
"Rudra tandava — Creation, evaluation, demolition, reconstruction."
Rules:
When the user provides raw content, notes, or an existing draft:
Read the source material. Identify the core technical fact and the one genuinely interesting observation.
Write the hook — specific metric or fact, one declarative sentence.
Build the legend/context — orient the reader with precise details.
Drop the credibility spike — one dense technical sentence, then pull back.
Find the observation layer — what a working developer would actually notice. Not the obvious angle.
Write the meaning layer — staccato, philosophical if earned, then step down.
Apply the "for me" move at the close.
Draft the comment separately with links, credits, tools.
Cut pass: Remove every sentence that doesn't earn its place. If removing it doesn't hurt, remove it.
Rhythm check: Read aloud. Long/short alternation? Does it breathe?
Anti-pattern sweep: Zero violations against the hard blocks list.
AI-pattern sweep: Load references/detection-patterns.md and check for residual AI tells. Specifically scan for:
Skip patterns that conflict with this voice:
| Situation | Resolution |
|---|---|
| No metric available for Hook | Use a declarative framing statement instead — a specific claim or event, not a number. "Anthropic just announced Opus 4.7" works without a metric. |
| Source material too thin for 5 acts | Collapse to 3 acts: Hook, Observation, Meaning. Do not pad. |
| User draft has multiple anti-pattern violations | Prioritize removal: superlatives first, then CTAs/audience questions, then formatting (emoji, hashtags, exclamation marks). Rewrite in passes, not all at once. |
| Content is an experience/review, not an observation | Switch to early first-person mode (see "For Me" Move). The 5-act structure still applies but the Reporter voice carries personal authority from the start. |
| Post exceeds 300 words after drafting | Run the cut pass again. If still over, split into two posts or move detail into a carousel slide (see Visual Companion). |
Posts pair with visuals when the content warrants it. Three tiers, in order of default preference:
md-to-pdf (default for technical/architecture posts)Write each act as a Markdown section with Mermaid diagram blocks where applicable. Render to PDF, upload as a LinkedIn document carousel.
Carousel is the highest-engagement LinkedIn format (~6.6% vs ~4% text-only). The 5-act structure maps directly to 5 PDF pages.
Execution:
<div style="page-break-after: always;"></div>) between acts.flowchart, sequenceDiagram, stateDiagram-v2) for Acts 2–4 where the content is structural.--css with a LinkedIn-optimized carousel stylesheet: square page size (1080×1080px), large fonts (minimum 24px body, 48px headings) for mobile legibility, high-contrast background.md-to-pdf skill for rendering.concept-to-image (custom visuals/data viz)When the visual needs bespoke HTML/CSS/SVG design beyond what Markdown can express. Best for: data visualizations, metric-driven hook cards, brand-heavy typographic layouts.
Output dimensions: 1200×630 (link preview) or 1080×1080 (square post image).
Invoke the concept-to-image skill for rendering.
concept-to-video or remotion-video (temporal subjects only)Animation restricted to concepts inherently about change over time: agent behavior traces, before/after transformations, process evolution.
Video reach is declining on LinkedIn. Use only when static formats cannot convey the temporal dimension.
concept-to-video (Manim/Python) — algorithm visualizations, math concepts, technical step-throughs. Works headless.remotion-video (React/Node.js) — branded motion graphics, product demos, data-driven video with audio sync and TailwindCSS styling.Invoke the matching video skill for rendering.
When using Tier 1, map the 5-act structure to slides:
| Slide | Act | Visual Treatment |
|---|---|---|
| 1 | Hook | Metric or fact as bold typographic card. No diagrams. |
| 2 | Legend | Visual decoder — diagram key, orientation, symbol mapping. |
| 3 | Credibility Spike | Dense technical pipeline as Mermaid flowchart. Maximum information density. |
| 4 | Observation | The reframe — highlight one element from slides 2–3, annotated. |
| 5 | Meaning | Staccato text on clean background. No diagram. White space is the visual. |
150–300 words. The author does not pad. If the content is 120 words, it's 120 words.
Baseline LinkedIn engagement rates by format: text-only ~4%, text+image ~4.85%, document/carousel ~6.6%. These numbers inform format selection, not content quality. A well-written text post outperforms a mediocre carousel.
md-to-pdf, concept-to-image). The base skill produces text and post structure only.concept-to-video or remotion-video and is restricted to temporal subjects.These are the author's actual posts. Pattern-match against the writing, not just the rules.
Dated context: Examples 1 and 2 were drafted at Opus 4.6's launch (2026-03) and reference that announcement. The technique (Hook, Credibility Spike, Observation, Meaning) is model-version-independent — swap "Opus 4.6" for the current model when applying the pattern to a fresh announcement.
This is what 3,982 commits in 14 days looks like.
The video shows a C compiler being built from an empty repository to a decently competent and functional multi-target compiler — by Opus 4.6, working autonomously.
As usual, it doesn't bother about the bill it is running up.
What you're seeing:
- Green = new file created
- Red = file deleted (refactoring)
- Blue = file modified
The directory tree grows slowly as the compiler takes shape, and by the end you're looking at 447 source files targeting x86-64, AArch64, RISC-V, and i686. Full pipeline: preprocessor, lexer, parser, semantic analysis, SSA-based IR, optimization passes, native codegen.
The thing worth watching for is the red. The agent doesn't just accumulate code. It tears subsystems down and rebuilds them.
Quite remarkably there is no thrashing. The mistakes help the LLM to learn and the next iterations get better.
Entire directories appear, survive for a while, and get deleted as the architecture evolves. Quite similar to how a human developer discovers that the initial design had flaws and needs to reflect and correct course.
The agent just does it at machine speed.
Most agent demos show accumulation.
Files go up, nothing comes down.
This one shows iteration.
Rudra tandava — Creation, evaluation, demolition, reconstruction.
Fourteen days of work, with the willingness to throw things away.
That's the interesting part for me.Comment:
https://www.anthropic.com/engineering/building-c-compiler
ffmpeg and Gource to build the visual
Inspiration from David Knickerbocker (for the graph) and Yan Holtz (for the lovely visualizations)Anthropic just announced Opus 4.6 and published a piece about it building a C compiler from scratch. I use Claude Code daily.
A C compiler is a solved problem. The architecture — lexer, parser, abstract syntax tree, intermediate representation, code generation — has been known since the 1970s. Every stage is documented in textbooks. The language specification is written down. Test suites exist to verify correctness.
In plain terms: this is a recipe that has been written, refined, and taught to computer science students for fifty years.
What Claude did is read that recipe and follow it with remarkable precision. That is genuinely hard for an AI to do. But it is not the same as inventing the recipe.
Think of a chess engine. It has opening books — every known opening sequence memorized. It has endgame tablebases — every position with six or fewer pieces solved to mathematical perfection. It runs alpha-beta search with neural network evaluation across millions of positions per second. It beats every human alive.
But it didn't figure out chess. Humans wrote the evaluation heuristics. Humans built the databases. Humans designed the search algorithms. The engine executes. It doesn't understand.
Nobody looks at Stockfish and says "we don't need chess coaches anymore." The coach understands why a position is interesting. The engine calculates what move is optimal. These are different things.
Here is what it's good at:
Implementing known patterns fast. Scaffolding boilerplate. Catching bugs against test suites. Translating a clear specification into working code. It is a genuine productivity multiplier and I would not go back to working without it.
Here is what it doesn't do:
Decide what to build. Recognize when a requirement is wrong. Make architectural tradeoffs with incomplete information. Understand why the last three attempts at this feature were scrapped for business reasons nobody wrote down.
Software development is not writing code. It is deciding what code to write and, more often, what code not to write.
AI coding tools are power tools. A nail gun is not a carpenter. But a carpenter with a nail gun is faster than one with a hammer.
Use them.
They're real and they're good.
Just don't confuse the nail gun with the person holding it.© Mathews-Tom, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in skills/linkedin-post-style of Mathews-Tom/armory.
Open the folder on GitHubat commit 4594fb7
Linkedin Post Style 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 |
|---|---|---|---|---|---|---|
| Linkedin Post Style this skillMathews-Tom/armory | 328 | — | ~4.6k | 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 | 4.3k | 1 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Typefullyfreekmurze/dotfiles | 1k | 2 repos | ~3.4k | Automated safety check: Notes | None | |
| Linkedin Content Plannersergebulaev/linkedin-skills | 4.3k | 1 repos | ~2.1k | Automated safety check: Pass | MIT |
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.
freekmurze/dotfiles
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms.
sergebulaev/linkedin-skills
Plan, draft, audit, and publish LinkedIn posts and comments.
freekmurze/dotfiles
Create, schedule, and manage social media posts via Typefully.
sergebulaev/linkedin-skills
Generate a 7-day LinkedIn content plan from a theme, audience, and pillars.
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.
Mathews-Tom/armory
Architecture reviews across 7 dimensions (structural, scalability, enterprise readiness, performance, security, ops, data) with scored reports.
Mathews-Tom/armory
Turn concepts into static HTML visuals exported as PNG or SVG files via HTML/CSS/SVG.
Mathews-Tom/armory
A skill your agent uses when analyzing an existing video URL or local recording: "watch this video", "analyze youtube video", "summarize this video", "youtube transcript", "find this moment", "what…
Mathews-Tom/armory
Deep code simplification and refactoring preserving behavior across Python, Go, TypeScript, Rust.
Mathews-Tom/armory
Turn concepts into animated explainer videos using Manim (Python) with MP4/GIF output, audio overlay, multi-scene composition.
Mathews-Tom/armory
Maps the unresolved architecture, policy, and scope decisions that must be answered before planning can start: one durable decision ticket per question on the issue tracker, typed and blocker-linked…
Works with
Categories
Writes LinkedIn posts in a direct, analytical, dry-humored technical voice with visual companion guidance. Linkedin Post Style is an agent skill from Mathews-Tom/armory. Writes LinkedIn posts in a direct, analytical, dry-humored technical voice with visual companion guidance.
Linkedin Post Style fits situations like: : write this in my style; rewrite this for LinkedIn; post about this; how should I phrase this.
Run `npx skills add Mathews-Tom/armory --skill linkedin-post-style -a claude-code`. Or copy the skill folder (skills/linkedin-post-style in Mathews-Tom/armory) into .claude/skills/linkedin-post-style in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Mathews-Tom/armory --skill linkedin-post-style -a codex`. Or copy the skill folder (skills/linkedin-post-style in Mathews-Tom/armory) into .agents/skills/linkedin-post-style in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Mathews-Tom/armory --skill linkedin-post-style -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkedin-post-style, .gemini/skills/linkedin-post-style, .github/skills/linkedin-post-style and .opencode/skills/linkedin-post-style in your project.
SKILL.md names no scripts, command-line tools or credentials: Linkedin Post Style is instructions for the agent only.
SKILL.md names 1 domain. In commands or code: anthropic.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
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.
Linkedin Post Style is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.6k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Linkedin Post Style: Social (coreyhaines31/marketingskills, 54k stars), Social Content (freekmurze/dotfiles, 1k stars), Linkedin Marketing (sergebulaev/linkedin-skills, 4.3k stars) and Typefully (freekmurze/dotfiles, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Mathews-Tom (a GitHub user) maintains it in Mathews-Tom/armory, which has 328 GitHub stars. The repository holds 80 skills in this directory. The repository was last updated on October 6, 2026.
Source: Mathews-Tom/armory on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.