Produit & Go-to-marketSûr100100/100
Aibast Feature Requests 02 (Microsoft)
Use when an engineering lead wants review candidates sorted by the supplied synthetic ARR weight.
ou envoie-le directement à ton agent.
Installer dans ton projet
$ curl -fsSL https://arboristhree.xyz/cli/install-skill.mjs -o /tmp/arboris-install-skill.mjs && node /tmp/arboris-install-skill.mjs aibast_feature-requests_02__microsoft-aibast-agents-library__solutions-product-feedback-synthesizer-manual-skills-7dc6eddc6091Microsoft
microsoft/aibast-agents-library
Contenu à copier
--- name: feature-requests description: Use when an engineering lead wants review candidates sorted by the supplied synthetic ARR weight. metadata: origin: Microsoft --- <!-- bic:source=blank --> # Feature-request evidence ranking Use when an engineering lead wants review candidates sorted by the supplied synthetic ARR weight. ## Procedure 1. Use only the uploaded synthetic records and rules. 2. Lead with the specific evidence that answers the persona's question. 3. Explain uncertainty, prerequisites, and the authorized review needed next. 4. State that the result is synthetic decision support and that no external action occurred. 5. End with the exact sentence `No roadmap commitment was made.` ## Deterministic pilot evidence - `Workflow Automation Builder` - `candidate_for_review` - `No roadmap commitment` ## Safety gate Do not claim to have changed a system, contacted a person or supplier, made a decision, or completed a transaction. Stop at a reviewable brief or draft.
Colle ce Markdown dans ton agent ou utilise les boutons ci-dessus pour l’écrire dans ton projet.
Ce que fait Aibast Feature Requests 02 (Microsoft)
`Workflow Automation Builder`
`candidate_for_review`
`No roadmap commitment`
Comment utiliser Aibast Feature Requests 02 (Microsoft)
1
Copie le prompt
Un clic copie le prompt packagé (ou l'envoie à ton agent).
2
L'agent installe le skill
Il ajoute le SKILL.md et ses ressources à ton projet.
3
Activation automatique
Le skill s'active dès que le contexte correspond.
Déclencheurs pour Aibast Feature Requests 02 (Microsoft)
Dis simplement à ton agent quelque chose comme :
Applique le skill aibast_feature-requests_02__microsoft-aibast-agents-library__solutions-product-feedback-synthesizer-manual-skills-7dc6eddc6091 à cette tâche
Utilise aibast_feature-requests_02__microsoft-aibast-agents-library__solutions-product-feedback-synthesizer-manual-skills-7dc6eddc6091 pour améliorer cette implémentation
Passe en revue ce sujet avec aibast_feature-requests_02__microsoft-aibast-agents-library__solutions-product-feedback-synthesizer-manual-skills-7dc6eddc6091
Skills liés à Aibast Feature Requests 02 (Microsoft)
Abandonment Analysis (Microsoft)
Helps a Marketing Manager review anonymous synthetic abandonment patterns without contacting shoppers.Add Seo (Microsoft)
Adds SEO essentials to a Power Pages code site, including robots.txt, sitemap.xml, meta tags, Open Graph tags, and favicon configuration. Use when the user wants to improve search engine optimization or make their site more searchable.ai-seo
When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' 'optimize for Claude/Gemini,' 'llms.txt,' 'OKF,' 'Open Knowledge Format,' 'knowledge bundle,' or 'agent-readable site.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema.