Show Me Your Work Decision Log
cursor/plugins
Keeps a TSV decision log for long or unattended agent runs, one row per decision with what, why, evidence and result, so a reviewer can check the work later.
Draft voice-tuned X (Twitter) post variants from a free-form brief.
Install Create X Content
$ npx skills add gooseworks-ai/goose-skills --skill create-x-content -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills create-x-content --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/content/capabilities/create-x-content .claude/skills/create-x-content && 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 "create-x-content" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/content/capabilities/create-x-content into .claude/skills/create-x-content/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-x-content", 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/gooseworks-ai/goose-skills/tree/main/skills/content/capabilities/create-x-contentType 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 gooseworks-ai/goose-skills --skill create-x-content -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills create-x-content --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/content/capabilities/create-x-content .agents/skills/create-x-content && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "create-x-content" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/content/capabilities/create-x-content into .agents/skills/create-x-content/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-x-content", 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 gooseworks-ai/goose-skills --skill create-x-content -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills create-x-content --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/content/capabilities/create-x-content .cursor/skills/create-x-content && 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 "create-x-content" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/content/capabilities/create-x-content into .cursor/skills/create-x-content/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-x-content", 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/gooseworks-ai/goose-skills.git --path skills/content/capabilities/create-x-content--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 gooseworks-ai/goose-skills --skill create-x-content -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills create-x-content --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/content/capabilities/create-x-content .gemini/skills/create-x-content && 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 "create-x-content" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/content/capabilities/create-x-content into .gemini/skills/create-x-content/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-x-content", 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 gooseworks-ai/goose-skills create-x-contentInstalls 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 gooseworks-ai/goose-skills --skill create-x-content -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/content/capabilities/create-x-content .github/skills/create-x-content && 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 "create-x-content" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/content/capabilities/create-x-content into .github/skills/create-x-content/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-x-content", 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 gooseworks-ai/goose-skills --skill create-x-content -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills create-x-content --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/content/capabilities/create-x-content .opencode/skills/create-x-content && 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 "create-x-content" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/content/capabilities/create-x-content into .opencode/skills/create-x-content/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-x-content", 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
create-x-content- GitHub stars
- 1.2k
- Used in
- 1 other repo
- Token cost
- ~1.8k tokens
- SKILL.md length
- 783 words
- Files
- 2
- Skills in repo
- 273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Draft voice-tuned X (Twitter) post variants from a free-form brief.
- Works in 6 steps: Load the voice guide → Parse the brief and decide variant count → Generate variants with explicit framing → …
- Tasks that involve Verification before completion
- SKILL.md covers Quick Start, Inputs, Voice Guide Resolution and Workflow, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Create X Content is an agent skill from gooseworks-ai/goose-skills. Draft voice-tuned X (Twitter) post variants from a free-form brief. Reads a personal voice guide (generated via generate-voice-guide), produces 2–5 variants with distinct framings (simple-howto, problem-first, hype, mechanism-breakdown, etc.), and self-checks against the voice guide's banned phrases before returning.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).
It sits in Agent Workflows, covering Verification before completion. It works with X (Twitter). The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
When your agent uses it
- Tasks that involve Verification before completion
Example prompts
- “/create-x-content”
Requirements
- Python 3
- Node.js
Workflow steps
6 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 c650c6d. 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 yaml).
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
Create X Content loads about 1.8k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 783 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 gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 783 words, ~1,752 tokens.
Download SKILL.mdSave it as
.claude/skills/create-x-content/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- create-x-content
- description
- Draft voice-tuned X (Twitter) post variants from a free-form brief. Reads a personal voice guide (generated via generate-voice-guide), produces 2–5 variants with distinct framings (simple-howto, problem-first, hype, mechanism-breakdown, etc.), and self-checks against the voice guide's banned phrases before returning.
- tags
- content, social
Create X Content
Draft X/Twitter post variants that sound like you, not like an AI. Reads a voice guide the user has already generated (or prompts to create one), produces multiple framings of the same idea, and saves each variant as its own markdown file with frontmatter.
This is an agent-executed skill — the agent does the drafting and self-check inline. No Python script.
Quick Start
/create-x-content --brief "New open-source CLI that turns Figma files into React components. Called figma2react. Free, MIT licensed."Or interactively:
/create-x-contentInputs
| Flag | Required | Default |
|---|---|---|
--brief | Yes (asked interactively if missing) | — |
--variants | No | Skill decides based on brief richness (2–5) |
--voice-guide | No | Resolved via chain below |
--output | No | ./content/YYYY-MM-DD-<topic-slug>/ |
--topic | No | Derived from brief |
Voice Guide Resolution
Resolve in this order, stop at first hit:
--voice-guide <path>flag~/.goose-skills/config.json→voice_guides.x~/.goose-skills/voice-guides/voice-x.md(default path)- Fallback prompt — no guide found. Give the user three options:
- (a) Paste a path to an existing guide
- (b) Run
/generate-voice-guide --platforms xnow to create one (recommended) - (c) Proceed with a neutral default (warn that variants will sound generic)
Never silently skip the voice guide. Generic posts are the failure mode to avoid.
Workflow
Phase 1 — Load the voice guide
Read the resolved voice guide into context. Extract, for use throughout drafting:
- Banned phrases — treat as hard blocks
- Hook patterns — sample these for variant framings
- Format rules — length ranges, line-break style, emoji policy
- Dos/don'ts — apply to every variant
- Example posts — use as calibration targets
Phase 2 — Parse the brief and decide variant count
Decide variant count by richness:
- 2 variants — one-line opinions, single-angle hot takes, simple tool mentions with no mechanism
- 3 variants — typical tool spotlights, single how-tos, observations with one clear angle
- 4 variants — multi-angle topics (a how-to + a problem-first frame + a hype frame + a mechanism breakdown)
- 5 variants — rich, mechanism-heavy content where several distinct hooks all have real substance
If --variants is explicitly set, respect it. Otherwise pick the smallest count where each variant genuinely adds a different angle. Quality > quantity. 2 strong variants beat 5 watered-down ones.
Phase 3 — Generate variants with explicit framing
Each variant gets a distinct framing label that determines its structure and hook:
| Framing | Structure | When to use |
|---|---|---|
simple-howto | Bare steps, no mechanism | Tool install + usage, 2–3 line how-to |
howto-plus-mechanism | How-to + "here's how it works" breakdown | Tools where the mechanism is interesting |
problem-first | Open with the pain, then solution | When the problem is visceral/relatable |
hype | Punchy "someone just dropped X" energy | Launches, new OSS releases, cool builds |
mechanism-breakdown | Focus on the how | Technical builds, systems, architectures |
ecosystem-map | Curated list of N related tools/companies | Landscape posts |
contrarian | "Most people do X wrong" opener | Opinion pieces with a clear counter-take |
personal-experience | "We've been doing X. Here's what I learned" | Field notes, lessons learned |
Use framings the voice guide's hook patterns actually support. Don't force framings the user never employs.
Show full SKILL.md (325 more words)Show less
Phase 4 — Self-check against the voice guide
Before saving, run each variant through these checks:
- Banned phrase check — does the variant use any phrase from the voice guide's banned list? If yes, rewrite that line.
- Length check — does it fit the voice guide's format rules (short-form <280, long-form 100–1000, etc.)?
- "Meat" check — does it have at least one concrete reference: a specific tool, number, workflow, or build? If not, it's filler — rewrite.
- Voice-match spot check — would this plausibly appear in the example posts section of the voice guide? If it reads like a generic AI tweet, rewrite.
If a variant fails any check and two rewrite attempts don't fix it, drop the variant rather than ship something weak.
Phase 5 — Save outputs
Write each variant as its own .md file. File naming:
variant-<letter>-<framing-slug>.mdExamples: variant-a-simple-howto.md, variant-b-problem-first.md.
Frontmatter schema:
---
id: <topic-slug>-<letter>
platform: x
format: short | long
topic: <slug>
framing: <framing-slug>
status: draft
---Body: just the post text. No commentary, no surrounding markdown.
Phase 6 — Deliver
Print to the user:
- Output directory path
- List of files created
- Variant count + framings used
- Suggested next step (review, tweak, or run
/social-kitfor a matching graphic)
Outputs
<output>/variant-<letter>-<framing>.mdper variant- No index file — each variant is self-contained
Examples
Simple brief:
/create-x-content --brief "npx goose-skills install claude-code-hooks — a new skill that adds pre-commit, pre-tool-use, and post-response hooks to Claude Code so you can enforce coding standards automatically."→ 3 variants (howto, hype, mechanism)
Rich brief:
/create-x-content --brief "Built a Claude-driven lead gen system. Scrapes Reddit for people asking about email deliverability, finds their domains, verifies their business email via Hunter, drafts a personalized DM. 47 leads in 6 hours at $0.03/lead."→ 5 variants (personal-experience, mechanism-breakdown, hype, problem-first, simple-howto)
Dependencies
- A voice guide at the resolved path (see Voice Guide Resolution above)
generate-voice-guideskill (for creating one when missing)
Tips
- Default to fewer variants. Five weak ones is worse than two strong ones. The skill should feel picky, not generous.
- Framings must actually differ. Don't write five variants with the same opening hook and minor tweaks. Each variant = a different lens on the same idea.
- Quote the brief's specifics verbatim in the variant. Numbers, tool names, prices — these are the "meat." Losing them to paraphrasing kills the post.
- If the voice guide has a "field-notes deep-dive" hook pattern and the brief is rich enough, include one long-form variant. That format tends to outperform on X.
© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in skills/content/capabilities/create-x-content of gooseworks-ai/goose-skills.
- SKILL.md
- skill.meta.json
Open the folder on GitHubat commit c650c6d
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Create X Content 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 |
|---|---|---|---|---|---|---|
| Create X Content this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Show Me Your Work Decision Logcursor/plugins | 11k | 8 repos | ~1.6k | Automated safety check: Pass | None | |
| Scope Creep Guardlennney/stop-that-shit | 2.5k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| Verification Before Completionfarm-fe/farm | 5.6k | 47 repos | ~1k | Automated safety check: Pass | MIT | |
| PUA High-Agency Governancetanweai/pua | 20k | — | ~502 | Automated safety check: Pass | MIT | |
| Loop Change Verifiercobusgreyling/loop-engineering | 11k | 1 repos | ~709 | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Create X Content
What does Create X Content do?
Draft voice-tuned X (Twitter) post variants from a free-form brief. Create X Content is an agent skill from gooseworks-ai/goose-skills. Draft voice-tuned X (Twitter) post variants from a free-form brief.
When should I use Create X Content?
Create X Content fits situations like: tasks that involve Verification before completion.
How do I install Create X Content in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill create-x-content -a claude-code`. Or copy the skill folder (skills/content/capabilities/create-x-content in gooseworks-ai/goose-skills) into .claude/skills/create-x-content in your project. Claude Code loads it when a task matches its description.
How do I install Create X Content in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill create-x-content -a codex`. Or copy the skill folder (skills/content/capabilities/create-x-content in gooseworks-ai/goose-skills) into .agents/skills/create-x-content in your project. Codex loads it when a task matches its description.
Can I use Create X Content 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 gooseworks-ai/goose-skills --skill create-x-content -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/create-x-content, .gemini/skills/create-x-content, .github/skills/create-x-content and .opencode/skills/create-x-content in your project.
What does Create X Content need to run?
SKILL.md names no scripts, command-line tools or credentials: Create X Content is instructions for the agent only. Our summary lists: Python 3; Node.js.
Does Create X Content 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 Create X Content 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 Create X Content use?
Create X Content 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 Create X Content use?
About 1.8k tokens (SKILL.md is roughly 7k 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 Create X Content?
Skills that share tags, products or a category with Create X Content: Show Me Your Work Decision Log (cursor/plugins, 11k stars), Scope Creep Guard (lennney/stop-that-shit, 2.5k stars), Verification Before Completion (farm-fe/farm, 5.6k stars) and PUA High-Agency Governance (tanweai/pua, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Create X Content?
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.