Skill Creator
openclaw/openclaw
Author or review AgentSkills: create, repair, validate, or restructure SKILL.md files and bundled resources.
Turn a fast-moving AI, product, creator, career, or technology trend into a small evidence-producing bet instead of a vague FOMO reaction.
MITAuto-check passed
Install Trend To Microbet
$ npx skills add FAIRY123456789/human-edge-agent-skills --skill trend-to-microbet -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install FAIRY123456789/human-edge-agent-skills trend-to-microbet --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/FAIRY123456789/human-edge-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/trend-to-microbet .claude/skills/trend-to-microbet && 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 "trend-to-microbet" agent skill from https://github.com/FAIRY123456789/human-edge-agent-skills/tree/main/skills/trend-to-microbet into .claude/skills/trend-to-microbet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-to-microbet", 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/FAIRY123456789/human-edge-agent-skills/tree/main/skills/trend-to-microbetType 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 FAIRY123456789/human-edge-agent-skills --skill trend-to-microbet -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install FAIRY123456789/human-edge-agent-skills trend-to-microbet --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FAIRY123456789/human-edge-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/trend-to-microbet .agents/skills/trend-to-microbet && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "trend-to-microbet" agent skill from https://github.com/FAIRY123456789/human-edge-agent-skills/tree/main/skills/trend-to-microbet into .agents/skills/trend-to-microbet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-to-microbet", 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 FAIRY123456789/human-edge-agent-skills --skill trend-to-microbet -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install FAIRY123456789/human-edge-agent-skills trend-to-microbet --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FAIRY123456789/human-edge-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/trend-to-microbet .cursor/skills/trend-to-microbet && 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 "trend-to-microbet" agent skill from https://github.com/FAIRY123456789/human-edge-agent-skills/tree/main/skills/trend-to-microbet into .cursor/skills/trend-to-microbet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-to-microbet", 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/FAIRY123456789/human-edge-agent-skills.git --path skills/trend-to-microbet--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 FAIRY123456789/human-edge-agent-skills --skill trend-to-microbet -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install FAIRY123456789/human-edge-agent-skills trend-to-microbet --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FAIRY123456789/human-edge-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/trend-to-microbet .gemini/skills/trend-to-microbet && 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 "trend-to-microbet" agent skill from https://github.com/FAIRY123456789/human-edge-agent-skills/tree/main/skills/trend-to-microbet into .gemini/skills/trend-to-microbet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-to-microbet", 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 FAIRY123456789/human-edge-agent-skills trend-to-microbetInstalls 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 FAIRY123456789/human-edge-agent-skills --skill trend-to-microbet -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/FAIRY123456789/human-edge-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/trend-to-microbet .github/skills/trend-to-microbet && 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 "trend-to-microbet" agent skill from https://github.com/FAIRY123456789/human-edge-agent-skills/tree/main/skills/trend-to-microbet into .github/skills/trend-to-microbet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-to-microbet", 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 FAIRY123456789/human-edge-agent-skills --skill trend-to-microbet -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install FAIRY123456789/human-edge-agent-skills trend-to-microbet --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FAIRY123456789/human-edge-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/trend-to-microbet .opencode/skills/trend-to-microbet && 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 "trend-to-microbet" agent skill from https://github.com/FAIRY123456789/human-edge-agent-skills/tree/main/skills/trend-to-microbet into .opencode/skills/trend-to-microbet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-to-microbet", 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
trend-to-microbet- GitHub stars
- 103
- Token cost
- ~550 tokens
- SKILL.md length
- 235 words
- Files
- 3 (incl. references)
- Skills in repo
- 18
- Repo updated
- First seen
- Licence
- MIT
At a glance
Turn a fast-moving AI, product, creator, career, or technology trend into a small evidence-producing bet instead of a vague FOMO reaction.
- Works in 9 steps: Name the trend precisely. Separate the… → Verify recency when tools allow. Prefer… → Check personal leverage. What assets… → …
- The user says something is suddenly hot
- SKILL.md covers Workflow and Output
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Trend To Microbet is an agent skill from FAIRY123456789/human-edge-agent-skills. Turn a fast-moving AI, product, creator, career, or technology trend into a small evidence-producing bet instead of a vague FOMO reaction. Use when the user says something is suddenly hot, wonders whether to chase a new model, platform, agent, Skill, or plugin, or wants a 48-hour to 7-day experiment with a clear upside, effort cap, proof metric, and stop rule.
Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `README.md` and `references/microbet-scorecard.md`).
The repository describes itself as: 18 portable Agent Skills for voice-native AI, human judgment, microbets, social tact, writing, life systems, and safe deployment. The licence is MIT.
When your agent uses it
- The user says something is suddenly hot
- Wonders whether to chase a new model
- Wants a 48-hour to 7-day experiment with a clear upside
Example prompts
- “/trend-to-microbet”
Workflow steps
9 steps, taken from the first numbered list in SKILL.md.
- Name the trend precisely. Separate the product, capability, ecosystem, and social buzz.
- Verify recency when tools allow. Prefer official release notes plus at least one independent community or adoption signal. If live web…
- Check personal leverage. What assets already exist: code, audience, domain knowledge, data, relationships, infrastructure, writing…
- Score the opportunity using references/microbet-scorecard.md.
- Design the smallest public or real-world test. Default horizon: 48 hours to 7 days. Cap effort before building.
- Choose one proof metric before work starts. Examples: external installs, completed tasks, user replies, repeat use, accepted demo…
- Define stop / iterate / double-down rules. A microbet without a stop rule becomes a new distraction.
- Publish or test where the target users already are. Do not build a new community merely to validate the idea.
- Review the result, not the excitement. Update the opportunity score after evidence arrives.
What it can do on your machine
Read from SKILL.md and the folder at commit 31a0a16. 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.
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
Trend To Microbet loads about 550 tokens when it runs, and up to ~765 if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 235 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 FAIRY123456789/human-edge-agent-skills at commit 31a0a16, republished under its MIT licence (© FAIRY123456789). 235 words, ~550 tokens.
Download SKILL.mdSave it as
.claude/skills/trend-to-microbet/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- trend-to-microbet
- description
- Turn a fast-moving AI, product, creator, career, or technology trend into a small evidence-producing bet instead of a vague FOMO reaction. Use when the user says something is suddenly hot, wonders whether to chase a new model, platform, agent, Skill, or plugin, or wants a 48-hour to 7-day experiment with a clear upside, effort cap, proof metric, and stop rule.
- license
- MIT
- metadata.author
- Joy T <101039451+FAIRY123456789@users.noreply.github.com>
- metadata.tags
- experiments, trends, validation
Trend to Microbet
Do not answer hype with hype. Convert the trend into a bounded experiment.
Workflow
- Name the trend precisely. Separate the product, capability, ecosystem, and social buzz.
- Verify recency when tools allow. Prefer official release notes plus at least one independent community or adoption signal. If live web access is unavailable, mark trend strength as unverified.
- Check personal leverage. What assets already exist: code, audience, domain knowledge, data, relationships, infrastructure, writing, distribution, or a half-built prototype?
- Score the opportunity using
references/microbet-scorecard.md. - Design the smallest public or real-world test. Default horizon: 48 hours to 7 days. Cap effort before building.
- Choose one proof metric before work starts. Examples: external installs, completed tasks, user replies, repeat use, accepted demo, qualified leads, benchmark delta, or a real conversation that changes the decision.
- Define stop / iterate / double-down rules. A microbet without a stop rule becomes a new distraction.
- Publish or test where the target users already are. Do not build a new community merely to validate the idea.
- Review the result, not the excitement. Update the opportunity score after evidence arrives.
Output
Return:
- Trend claim and verification status
- Why it may matter
- Existing leverage
- 48h–7d microbet
- Effort cap
- Primary proof metric
- Stop / iterate / double-down rule
- What not to do yet
Do not present social-media excitement, stars, or press coverage as proof that the user's own bet will work.
© FAIRY123456789, 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 2 other files (references) in skills/trend-to-microbet of FAIRY123456789/human-edge-agent-skills.
- SKILL.md
- README.md
- references/microbet-scorecard.md
Open the folder on GitHubat commit 31a0a16
Compare with similar skills
Trend To Microbet 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 |
|---|---|---|---|---|---|---|
| Trend To Microbet this skillFAIRY123456789/human-edge-agent-skills | 103 | — | ~550 | Automated safety check: Pass | MIT | |
| Skill Creatoropenclaw/openclaw | 392k | — | ~576 | Automated safety check: Pass | Apache-2.0 | |
| Apify Trend Analysissickn33/agentic-awesome-skills | 47k | 2 repos | ~1.2k | Automated safety check: Notes | MIT | |
| Move Code Qualitydavila7/claude-code-templates | 33k | 2 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Career Ops Notion Plugincareer-ops-hq/career-ops | 74k | — | ~301 | Automated safety check: Notes | MIT | |
| Content Creatoralirezarezvani/claude-skills | 28k | 1 repos | ~713 | Automated safety check: Pass | MIT |
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Career Ops Notion Plugin
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Copies a career-ops application tracker into a Notion database and reads saved Notion records back into the pipeline as job leads.
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Pulls job leads from a Gmail label into the career-ops pipeline, extracting job URLs from DMARC-passing emails and de-duplicating against existing leads.
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Questions about Trend To Microbet
What does Trend To Microbet do?
Turn a fast-moving AI, product, creator, career, or technology trend into a small evidence-producing bet instead of a vague FOMO reaction. Trend To Microbet is an agent skill from FAIRY123456789/human-edge-agent-skills. Turn a fast-moving AI, product, creator, career, or technology trend into a small evidence-producing bet instead of a vague FOMO reaction.
When should I use Trend To Microbet?
Trend To Microbet fits situations like: the user says something is suddenly hot; wonders whether to chase a new model; wants a 48-hour to 7-day experiment with a clear upside.
How do I install Trend To Microbet in Claude Code?
Run `npx skills add FAIRY123456789/human-edge-agent-skills --skill trend-to-microbet -a claude-code`. Or copy the skill folder (skills/trend-to-microbet in FAIRY123456789/human-edge-agent-skills) into .claude/skills/trend-to-microbet in your project. Claude Code loads it when a task matches its description.
How do I install Trend To Microbet in Codex?
Run `npx skills add FAIRY123456789/human-edge-agent-skills --skill trend-to-microbet -a codex`. Or copy the skill folder (skills/trend-to-microbet in FAIRY123456789/human-edge-agent-skills) into .agents/skills/trend-to-microbet in your project. Codex loads it when a task matches its description.
Can I use Trend To Microbet 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 FAIRY123456789/human-edge-agent-skills --skill trend-to-microbet -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trend-to-microbet, .gemini/skills/trend-to-microbet, .github/skills/trend-to-microbet and .opencode/skills/trend-to-microbet in your project.
What does Trend To Microbet need to run?
SKILL.md names no scripts, command-line tools or credentials: Trend To Microbet is instructions for the agent only.
Does Trend To Microbet 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 Trend To Microbet 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 Trend To Microbet use?
Trend To Microbet is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Trend To Microbet use?
About 550 tokens (SKILL.md is roughly 2.2k 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 215 tokens, read only when the agent opens those files.
What are the alternatives to Trend To Microbet?
Skills that share tags, products or a category with Trend To Microbet: Skill Creator (openclaw/openclaw, 392k stars), Apify Trend Analysis (sickn33/agentic-awesome-skills, 47k stars), Move Code Quality (davila7/claude-code-templates, 33k stars) and Career Ops Notion Plugin (career-ops-hq/career-ops, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Trend To Microbet?
FAIRY123456789 (a GitHub user) maintains it in FAIRY123456789/human-edge-agent-skills, which has 103 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on October 10, 2026.
Source: FAIRY123456789/human-edge-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.