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概要と使いどころ
Optional power-up — detects oversized codebases/docs and suggests tobi/qmd for local semantic search. Bridges cm-continuity (working memory) with long-term document retrieval. Zero-config detection, non-intrusive suggestion.
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。
Skill Chain Engine — compose skills into automated pipelines. One task triggers multi-skill workflows with progress tracking, auto-detection, and step management.
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 structured prompt-injection attack and defense experiments against an LLM-integrated app before production by measuring attack success and testing detection or recovery pipelines.
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。
Uses AWS CloudWatch SDK (boto3) to configure anomaly detection bands on metrics via PutAnomalyDetector API. Integrates with SNS for notifications and CloudWatch Synthetics for canary-based uptime monitoring.
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。
Executes structured diagnostic runbooks when CloudWatch Anomaly Detection triggers alarms. Uses the AWS SDK CloudWatch client (GetMetricData, DescribeAlarms) to gather context and suggest remediations.
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。
Investigates anomalous patterns in AWS CloudWatch Logs using the CloudWatch Logs Insights API and CloudWatch Anomaly Detection. Correlates log spikes with deployment events via AWS CodeDeploy API.
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。
Scans AWS CloudWatch Logs using the CloudWatch Logs Insights API and CloudWatch Anomaly Detection API. Identifies unusual error patterns, latency spikes, and log volume anomalies across log groups.
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。
Runs CloudWatch Logs Insights queries via AWS SDK for JavaScript v3. Analyzes Lambda cold starts, API Gateway latency, and ECS container logs. Generates anomaly detection alarms with math expressions.
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。
Streams audio from Twilio Media Streams over WebSocket to AssemblyAI real-time transcription, extracting speaker-diarized transcripts with word-level timestamps. Triggers entity detection and sentiment analysis via AssemblyAI LeMUR on completed call segments. Results are pushed to HubSpot or Salesforce contact records via their REST APIs.
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。
Extract structured intelligence from audio using the AssemblyAI API with sentiment analysis, entity detection, topic modeling, and auto-chapter generation. Uses the assemblyai Python SDK for transcript processing pipelines.
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。
Manages ArgoCD application sync operations with intelligent drift detection and rollback strategies. Uses the ArgoCD gRPC API and ApplicationSet CRD for multi-cluster GitOps 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。
Extracts text and metadata from 1000+ file formats using Apache Tika server REST API. Handles PDF OCR via Tesseract integration, Office document parsing, and email archive extraction with MIME detection.
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。
Extracts text and metadata from 1400+ file formats via Apache Tika Server REST API. Handles PDF, DOCX, PPTX, email archives, and embedded document extraction with MIME type detection.
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 customer onboarding guidance for accelerating time-to-value and ensuring successful implementations. Use when designing onboarding programs, creating kickoff frameworks, building implementation plans, or optimizing customer activation. Use for training delivery, go-live readiness, sales-to-CS handoffs, early warning detection, and tech-touch automation.
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。
Go-to-market engineering for the Yupcha portfolio (OmniVoice-Studio, the Clay-alternative in this repo, ResuBird). A closed set of executable verbs — research, audit, draft, measure, prepare, publish, escalate — each with a typed contract, required sources, and a risk tier. Use when: (1) researching ICP/competitors/channels/prior art, (2) auditing our own properties for what's actually broken (dead pricing pages, 404ing clone URLs, unfilled demos, licence detection, watermark coverage), (3) drafting docs/comparison pages/release notes/launch copy, (4) measuring real numbers against GOAL.md, (5) preparing a Show HN or a listing up to the send button, (6) any question about whether a GTM action is allowed. Triggers: 'gtm', 'go to market', 'launch', 'show hn', 'growth', 'marketing', 'positioning', 'icp', 'competitors', 'outreach', 'cold email', 'audit our', 'is it ok to', 'can we post', 'promote'.
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。
Writing engine that audits and rewrites prose for AI-resistance, fidelity, and mechanical tell removal.
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 the open-source free `Roslynator` analyzer packages and optional CLI for .NET. Use when a repo wants broad C# static analysis, auto-fix flows, dead-code detection, optional CLI checks, or extra rules beyond the SDK analyzers.
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 ManagedCode.MimeTypes when a .NET application needs consistent MIME type detection, extension mapping, and content-type decisions for uploads, downloads, or HTTP responses.
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 adding support for a new model architecture to imp, porting a model family, or debugging a model that loads but produces wrong output - "add support for <model>", "new arch", loader detection, chat template, tokenizer parity, RoPE variant, "outputs garbage", "prompt-blind", "digits scrambled", "NaN logits", "describes a different picture", "does it fit in VRAM". Do NOT use for kernel performance (sm120-cuda-expert) or quant-format questions (quant-formats).
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。
Builds regime detection models with hidden Markov, threshold, and Bayesian change-point methodologies for strategy adaptation. Use when modeling regime changes, detecting market shifts, or adapting strategies to market conditions.
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。
Structures backtesting methodology with out-of-sample testing, cross-validation, and overfitting detection techniques. Use when validating backtests, detecting overfitting, or ensuring backtest robustness.
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 CodeQL and Semgrep static analysis with SARIF output for vulnerability detection, code quality assessment, and security compliance scanning across multiple languages.
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。
Automated security scanning pipeline covering SAST (Semgrep), SCA (OWASP dependency-check), SBOM generation (Syft), vulnerability scanning (Grype), and secrets detection (detect-secrets). Invoked by security-architect for pre-commit gates, CI integration, and finding triage.
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。
Configurable regex-based alert system for detecting patterns in tool calls and session activity. Supports error triggers, content regex matching, token threshold triggers, and pattern detection with configurable actions.
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。