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Senior embedded software engineer specializing in firmware and driver development for ARM Cortex-M microcontrollers (Teensy, STM32, nRF52, SAMD).

日本語の概要は準備中です。原文の説明を表示しています。

Use when the user asks to "launch on Product Hunt / Hacker News", "prepare community or directory launch submissions", or "plan the launch submission waves"; produces per-platform submission packages — a Product Hunt tagline / gallery / first-comment skeleton, a factual Show HN title and text, per-subreddit posts with a self-promotion rules table, tiered directory waves, and a regional channel matrix including Chinese communities — plus a platform red-line check (never solicit votes or organize voting rings) and T-0 submission-status lines for the launch registry. Not for paid amplification — use content-amplifier; not for creator channels — use campaign-planner; not for launch telemetry readouts — use launch-monitor; not for ongoing community presence or pre-launch karma-building outside the launch window — use participation-warmup-planner. 社区发布/PH提交包/Show HN/目录波次/平台红线/中文渠道

日本語の概要は準備中です。原文の説明を表示しています。

Use when the user asks to "build a B2B cold-outbound sequence", "design reply-triage branching", "plan a domain warmup / sending throttle", or "make my outbound CAN-SPAM / opt-in compliant"; produces a multi-step outbound sequence with reply-triage branches (positive / objection / referral / not-now / opt-out), a warmup + send-throttle ramp schedule, jurisdiction opt-in/CAN-SPAM guardrails (guidance, not legal advice), and a SEND S-dimension read. Not for B2C lifecycle flows — use email-sequence-designer; not for the consent record — use consent-registry; not for computing EQS — use email-quality-auditor. B2B冷启动外联序列/回复分流/域名预热

日本語の概要は準備中です。原文の説明を表示しています。

Email marketing operations and automation for B2B SaaS. Use this skill for newsletter strategy, email automation sequences, lifecycle campaigns, nurture workflows, onboarding sequences, deliverability optimization, email copywriting, lead scoring, marketing automation platform setup, and cold-email sending infrastructure — secondary sending domains, SPF/DKIM/DMARC, and domain warmup. Also triggers on: email, newsletter, drip campaign, lifecycle, nurture, onboarding sequence, deliverability, email automation, lead scoring, marketing automation, our emails are going to spam, SPF, DKIM, DMARC, sender reputation, sending domain, cold email domains, domain warmup, mailbox setup, blacklist, bounce rate.

日本語の概要は準備中です。原文の説明を表示しています。

Farm the stills and b-roll the beats need. Use at the assets stage, or when the user says "farm the assets", "find the images", or "get the b-roll".

日本語の概要は準備中です。原文の説明を表示しています。

Break a user interface under real-world conditions across responsiveness, hostile content, interaction states, accessibility, network failure, interruption, and complete user journeys, reporting observable user harm with evidence rather than aesthetic opinion. Use whenever the user wants to stress-test a UI, verify responsive and edge-case behaviour, inspect loading/error/empty/recovery states, review a flow for friction, or find where an interface fails under reality. Part of the audit suite; inherits the shared constitution while its own job is proving observable user harm.

日本語の概要は準備中です。原文の説明を表示しています。

Senior embedded software engineer specializing in firmware and driver development for ARM Cortex-M microcontrollers (Teensy, STM32, nRF52, SAMD).

日本語の概要は準備中です。原文の説明を表示しています。

Use when working with Azure Resource Manager — azure Resource Manager (ARM) template and deployment management. Covers template validation, deployment operations, resource group inspection, what-if analysis, deployment history, and template spec management. Use when deploying ARM templates, reviewing deployment status, analyzing resource groups, or troubleshooting failed deployments.

日本語の概要は準備中です。原文の説明を表示しています。

Run and grow the OpenAmer Agent-to-Agent swarm: identity, trust, node-to-node ask, signed skill/insight sharing, and the autonomous self-learning loop.

日本語の概要は準備中です。原文の説明を表示しています。

Create a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever about to create a SageMaker endpoint, write deployment code that calls `create_endpoint`, or finalize a deployment after the image URI and IAM role are known. Provides deploy.py for real-time endpoints, deploy_ic.py for real-time endpoints that scale to zero instances via inference components, and deploy_async.py for async endpoints (also scale-to-zero). This is the last step in the SageMaker deployment workflow. Never generate a bare `create_endpoint` call without these defaults — endpoints without autoscaling or alarms are demos, not deployments.

日本語の概要は準備中です。原文の説明を表示しています。

Expert en infrastructure Azure (AKS, Functions, Cosmos DB, AD, DevOps, ARM templates)

日本語の概要は準備中です。原文の説明を表示しています。

DeFi Specialist IA — Expert en finance décentralisée (Uniswap, Aave, Compound, liquidity pools, yield farming, impermanent loss)

日本語の概要は準備中です。原文の説明を表示しています。

Expert en technologies agricoles avancées (precision farming, IoT sensors, satellite imagery, yield prediction, DZ context)

日本語の概要は準備中です。原文の説明を表示しています。

Expert en infrastructure Azure (AKS, Functions, Cosmos DB, AD, ARM templates, cost optimization)

日本語の概要は準備中です。原文の説明を表示しています。

Expert en orchestration d'agents autonomes (CrewAI, AutoGen, LangGraph, swarm patterns, planning)

日本語の概要は準備中です。原文の説明を表示しています。

AgriTech Algeria v2 — OAIC, conditions météo, irrigation, sahel, precision farming DZ

日本語の概要は準備中です。原文の説明を表示しています。

Expert en collaboration entre agents IA (swarm, débat, vote, délégation, consensus)

日本語の概要は準備中です。原文の説明を表示しています。

Parallel read-only multi-agent review of a current git diff or explicit file scope to find behavioral regressions, security or privacy risks, performance or reliability issues, and contract or test coverage gaps. Use when the user asks for a review swarm, parallel review, diff review, regression review, security review, or wants high-signal issues plus a prioritized fix path without editing files.

日本語の概要は準備中です。原文の説明を表示しています。

Senior embedded software engineer specializing in firmware and driver development for ARM Cortex-M microcontrollers (Teensy, STM32, nRF52, SAMD).

日本語の概要は準備中です。原文の説明を表示しています。

Windows/Linux memory dump, hiberfil.sys analizi — volatility3 ile process, credential, env var çıkarma, DPAPI master key kurtarma ve pypykatz entegrasyonu.

日本語の概要は準備中です。原文の説明を表示しています。

Plot per-group distributions of continuous data using boxplots, violins, beeswarms, quasirandom jitter, and raincloud plots with sample-size honesty (Weissgerber 2015), KDE-bandwidth awareness, and N-aware encoding choices. Use when comparing distributions across a small number of groups — expression per cluster, biomarker per arm, scores per condition — and the bar-of-mean default is misleading.

日本語の概要は準備中です。原文の説明を表示しています。

GPCR receptor pharmacology — agonist/antagonist/inverse-agonist/biased-agonist classification, GPCRdb structural data, receptor-ligand binding analysis, antibody-target interface (SAbDab). Use for GPCR drug discovery, biased-agonism analysis, receptor subtype selectivity questions, and orthosteric vs allosteric pocket characterization.

日本語の概要は準備中です。原文の説明を表示しています。

Drug safety and adverse event analysis — FAERS spontaneous-report mining, FDA black-box warnings, signal detection (PRR, ROR, IC), risk factors by demographic/comorbidity, and label change tracking. Use for post-market safety surveillance, AE signal investigation, drug-AE association strength scoring, and pharmacovigilance reports.

日本語の概要は準備中です。原文の説明を表示しています。

Assess drug-drug interactions — CYP metabolic interactions (substrate/inhibitor/inducer), transporter (P-gp, BCRP, OATP) effects, pharmacodynamic synergy/antagonism, clinical significance scoring, and management recommendations. Use for polypharmacy review, prescribing decision support, and safety analysis when adding or switching drugs.

日本語の概要は準備中です。原文の説明を表示しています。