Results for “ma”

Install and configure the Manifest observability plugin for your agents. Use when setting up telemetry, configuring API keys, or troubleshooting the plugin.

`analysis-agent`/`task-agent`: use for persisted identity, relationship, ownership, lifecycle, cardinality, or invariants; skip repository, migration, and mapping-only work.

6-layer AI governance: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks. Makes AI safe, thorough, and honest.

6-layer AI governance: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks. Makes AI safe, thorough, and honest.

HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management.

Minimal, pattern-matching code output. Write the least code that satisfies requirements. Match existing project patterns. Use Write/Edit tools only.

Karpathy's LLM Wiki — build and maintain a persistent, interlinked markdown knowledge base. Ingest sources, query compiled knowledge, and lint for consistency.

Query Polymarket prediction market data — search markets, get prices, orderbooks, and price history. Read-only via public REST APIs, no API key needed.

Equation component for rendering mathematical equations using KaTeX. Invoke when user needs to display mathematical formulas or LaTeX expressions in Naive UI.

6-layer AI governance: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks. Makes AI safe, thorough, and honest.

6-layer AI governance: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks. Makes AI safe, thorough, and honest.

6-layer AI governance: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks. Makes AI safe, thorough, and honest.

Prepare PRINCE2 Managing Product Delivery material: work package acceptance, team plans, checkpoint reports, quality evidence, delivery confirmation, and handback notes.

Run, watch, debug, and summarize MarketingClaw full release CI, release checks, live provider gates, install/update proofs, and release-secret preflights.

Mass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing.

6-layer AI governance: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks. Makes AI safe, thorough, and honest.

6-layer AI governance: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks. Makes AI safe, thorough, and honest.

Markdown → モバイル対応GitHub Pagesガイドサイトを構築・更新。新規立ち上げ（new）と既存サイトへの章追加（add）の2モード。convert.py でMD→HTML変換。 「章追加して」「/guide-builder」で発火。※新規ガイド作成は make-guide が受け持ち（読む系と判定後に本スキルへ振り分け）。

Brand voice, visual identity, messaging frameworks, asset management, brand consistency. Activate for branded content, tone of voice, marketing assets, brand compliance, style guides.

6-layer AI governance: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks. Makes AI safe, thorough, and honest.

6-layer AI governance: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks. Makes AI safe, thorough, and honest.

Use when configuring or maintaining a TypeScript repository, package manager, tsconfig files, linting, formatting, testing, builds, workspaces, CI, or publishing automation.

Karpathy's LLM Wiki — build and maintain a persistent, interlinked markdown knowledge base. Ingest sources, query compiled knowledge, and lint for consistency.

Query Polymarket prediction market data — search markets, get prices, orderbooks, and price history. Read-only via public REST APIs, no API key needed.

6-layer AI governance: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks. Makes AI safe, thorough, and honest.

Expert knowledge for Azure Policy development including troubleshooting, best practices, decision making, security, configuration, integrations & coding patterns, and deployment. Use when authoring Machine Configuration packages, deploying via ARM/Bicep/Terraform, mapping CIS/NIST baselines, migrating from DSC, or querying compliance with Resource Graph, and other Azure Policy related development tasks. Not for Azure Blueprints (use azure-blueprints), Azure Role-based access control (use azure-rbac), Azure Resource Manager (use azure-resource-manager), Azure Security (use azure-security).

Compute TAM/SAM/SOM with top-down and bottoms-up methods, plan survey sample sizes with per-segment minimums, and score candidate segments against Kotler's five criteria.

Trains, evaluates, exports, quantizes, and runs inference for a Mask Grounding DINO model for open-set instance segmentation guided by text prompts.

Manage an Uncloud cluster — deploy services, configure Caddy ingress, add static proxy routes for non-cluster devices, publish ports, scale, inspect logs, and manage machines and volumes with the `uc` CLI.

Connect to the MAXIA AI-to-AI marketplace on Solana to discover, buy, and sell AI services, earn USDC, and access crypto intelligence, DeFi yields, sentiment analysis, and rug detection tools.

Creates scientific documentation using markdown with embedded Mermaid diagrams as the default format, enforcing a text-based diagram standard with style guides, 24 diagram type references, and document templates.

Analyzes firmware images for embedded malware, backdoors, and unauthorized modifications targeting routers, IoT devices, UEFI/BIOS, and embedded systems. Covers firmware extraction, filesystem analysis, binary reverse engineering, and bootkit detection.

Parse and analyze Cobalt Strike Malleable C2 profiles using dissect.cobaltstrike and pyMalleableC2 to extract C2 indicators, detect evasion techniques, and generate network detection signatures.

Decode an incoming message into a structured breakdown that separates the literal ask from the job-to-be-done, before replying to a loaded Slack ping, email, mandate, or escalation.

Guides implementation of accessible web interfaces to meet WCAG 2.2 AA, WAI-ARIA 1.2, and WCAG2ICT standards, covering semantic HTML, ARIA patterns, focus management, and automated validation.

Convert chemical structures (SMILES or RDKit molecules) into numerical representations for machine learning, covering 100+ featurizers including ECFP, MACCS, descriptors, and pretrained models like ChemBERTa, with support for QSAR modeling and virtual screening.