fmea-analysis
Conduct FMEA for systematic failure mode identification using AIAG-VDA 7-step methodology. Supports DFMEA, PFMEA, and FMEA-MSR with Action Priority risk assessment.
Plugin-Paket · von dunnock
Überblick
fmea-analysis ist ein Plugin-Paket für KI-Coding-Tools von dunnock. Marktplätze, die wir lesen und die es listen: 1 (Community GitHub marketplaces). Wir haben es erstmals am 2026-10-15 gesehen und seither keine Änderung erfasst. Stand unseres Marktplatz-Durchlaufs vom 2026-10-18.
Was es abfragt
- Wird als Plugin-Paket installiert
Keiner der Marktplätze, die wir lesen, veröffentlicht seine Tools oder die abgefragten Einstellungen.
Was es deklariert, abfragt und ausführt, vollständig
Installieren Sie nur Plugins von Entwicklern, denen Sie vertrauen. Wir zeigen, was die Marktplätze veröffentlichen, und testen keine Plugins.
Funktioniert mit
- Claude Code
Nach den Marktplätzen, die ihn listen, und dem angegebenen MCP-Transport, wie jeder Client sie dokumentiert. Wir testen keine Plugins.
Verbinden
Befehle und Konfigurationen nur aus den Angaben der Marktplätze. Wir führen sie nicht für Sie aus und testen keine Plugins.
Als Claude-Code-Plugin
Erstellt aus den Angaben von Community GitHub marketplaces.
/plugin marketplace add ddunnock/claude-plugins
/plugin install fmea-analysis@ddunnock-claude-pluginsWo es veröffentlicht ist
| Marktplatz | Status | Version | Zahlen | Verifiziert | Erstmals gesehen |
|---|---|---|---|---|---|
| Community-Marktplatz ddunnock/claude-plugins (Quelle auf GitHub öffnen) | Gelistet | 1.0.1 | Forks (GitHub): 7 Sterne (GitHub): 14 |
Nicht markiert |
Jede Zahl stammt vom jeweiligen Marktplatz und wird nie über Marktplätze hinweg addiert. Ein Marktplatz ohne veröffentlichte Zahl zeigt keine: keine Zahl ist nicht null.
In einem Community-Marktplatz gelistet
| Marktplatz | Repository | Sterne (GitHub) |
|---|---|---|
| ddunnock-claude-plugins | ddunnock/claude-plugins | 14 |
Was sich geändert hat
- Wird seitdem als Produkt geführt
- Community GitHub marketplaces: erschienen
Ähnliche Plugins
Produkte, deren eigene Namen, Beschreibungen, Werkzeuge und Skills diesem der Bedeutung nach am nächsten sind, auf allen Marktplätzen, die wir lesen. Die Nähe ist nur innerhalb dieser Liste geordnet.
-
Conduct Fault Tree Analysis (FTA) for system failure analysis using Boolean logic gates. Identifies minimal cut sets, single points of failure, and failure probabilities.
-
Conduct rigorous 5 Whys root cause analysis with guided questioning, quality scoring, and professional report generation. Includes validation tests and countermeasure development.
-
fmeca io.github.praxec/fmeca
Deterministic, offline FMECA MCP server: failure modes, criticality matrix, mitigations, readiness
-
Conduct Pareto Analysis (80/20 Rule) to identify vital few causes driving majority of problems. Generates Pareto charts and prioritization reports.
-
Conduct Kepner-Tregoe (KT) PSDM analysis using Situation Appraisal, Problem Analysis (IS/IS NOT), Decision Analysis (MUSTS/WANTS), and Potential Problem Analysis.
-
misakanet io.github.Ikalus1988/misakanet
Failure-memory layer for coding agents: search evidence-rated failure lessons by error text.
-
Root Cause Analysis investigation — systematic failure diagnosis using layered taxonomy, causal chain analysis, and corrective action validation.
-
Identify what to measure, test, or track to de-risk a product or AI idea.
-
Institutional-grade Business Analysis skills for Claude. Methodology-grade outputs grounded in BABOK and real delivery experience. Includes four plugins: Capability Mapping (MECE…
-
Effort estimation for AI coding agents. PERT three-point estimation with METR reliability thresholds, modifier stacks (spec clarity, warm context, agent fit), and wave planning…
Ähnliche Plugins nach Marktplatz
Dieselbe Frage an jeden Marktplatz einzeln: Gibt es dort ein Gegenstück zu diesem Plugin?
Gelistet auf Claude Code: claude-plugins-community (5)
-
Institutional-grade Business Analysis skills for Claude. Methodology-grade outputs grounded in BABOK and real delivery experience. Includes four plugins: Capability Mapping (MECE…
-
Effort estimation for AI coding agents. PERT three-point estimation with METR reliability thresholds, modifier stacks (spec clarity, warm context, agent fit), and wave planning…
-
A causal inference plugin for AI agents. Describe a problem in plain language and it helps you choose a method, check assumptions, write the analysis in R or Python, and…
-
Three AI agents for supply chain operations — demand exception analysis, supplier risk scoring, and a multi-agent orchestrator for S&OP reviews. This plugin gives supply chain…
-
Multi-perspective plan review with VP Product, VP Engineering, and VP Design for implementation plans and architecture proposals.
Gelistet auf Claude Code: claude-plugins-official (5)
-
Analyze business data and build custom Pigment models, metrics, and boards through natural language.
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Enhance code quality and security through PagerDuty risk scoring and incident correlation. Score pre-commit diffs against historical incident data and surface deployment risk…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
Gelistet auf Claude: knowledge-work-plugins (5)
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
-
Write SQL, explore datasets, and generate insights faster. Build visualizations and dashboards, and turn raw data into clear stories for stakeholders.
-
Write feature specs, plan roadmaps, and synthesize user research faster. Keep stakeholders updated and stay ahead of the competitive landscape.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
Gelistet auf Codex: openai-curated (openai/plugins) (5)
-
Answer product and business questions with data
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
CrowdStrike Falcon Fusion skills for authoring, deploying, and executing Fusion workflows. Includes live action discovery, YAML authoring with schema validation, workflow import…
-
PostHog gives your AI agent direct access to your product analytics, feature flags, experiments, error tracking, surveys, logs, and LLM analytics. Ask questions about your data…
-
Codex Security workflows for security scans, analysis, and investigation.
Gelistet auf Community GitHub marketplaces (5)
-
Conduct Fault Tree Analysis (FTA) for system failure analysis using Boolean logic gates. Identifies minimal cut sets, single points of failure, and failure probabilities.
-
Conduct rigorous 5 Whys root cause analysis with guided questioning, quality scoring, and professional report generation. Includes validation tests and countermeasure development.
-
Conduct Pareto Analysis (80/20 Rule) to identify vital few causes driving majority of problems. Generates Pareto charts and prioritization reports.
-
Conduct Kepner-Tregoe (KT) PSDM analysis using Situation Appraisal, Problem Analysis (IS/IS NOT), Decision Analysis (MUSTS/WANTS), and Potential Problem Analysis.
-
misakanet io.github.Ikalus1988/misakanet
Failure-memory layer for coding agents: search evidence-rated failure lessons by error text.
Gelistet auf Copilot CLI: github/awesome-copilot (5)
-
Explore grouped customer feedback signals by impact and drill into a theme to guide product next steps.
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
A comprehensive collection of specialized agents for software analysis, impact assessment, structural quality advisories, and architectural review using CAST Imaging.
-
A runtime-portable 5-agent quality gate that adjudicates text artifacts before they ship. Five role-conditioned LLM deliberators run a 2-round async protocol with cross-read…
-
CrowdStrike Falcon Fusion skills for authoring, deploying, and executing Fusion workflows. Includes live action discovery, YAML authoring with schema validation, workflow import…
Gelistet auf Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Build and manage Microsoft Dataverse solutions using natural language. Includes table/column creation, solution lifecycle, data operations, and MCP server configuration.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
Gelistet auf Cursor: cursor/plugins (5)
-
Work with PostHog from chat: query product analytics and run SQL, manage feature flags and experiments, triage error tracking issues, and review session replays, surveys, and…
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Track AI visibility, sentiment, and citations.
-
Search company knowledge and draft verified answers.
-
Draw and export hand-drawn diagrams from chat.
Gelistet auf Docker MCP Catalog (5)
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
An MCP server to help make U.S. Government open datasets AI-friendly.
-
Tools to interact with the Camunda 7 Community Edition Engine using the Model Context Protocol (MCP). Whether you're automating workflows, querying process instances, or…
-
Connect your chat repl to wolfram alpha computational intelligence.
Gelistet auf Official MCP Registry (5)
-
fmeca io.github.praxec/fmeca
Deterministic, offline FMECA MCP server: failure modes, criticality matrix, mitigations, readiness
-
misakanet io.github.Ikalus1988/misakanet
Failure-memory layer for coding agents: search evidence-rated failure lessons by error text.
-
Industrial glossary, protocol reference, technical search and OEE calculation. Read-only.
-
dxpert.ai — industrial AI-readiness & UNS agents
Industrial AI-readiness diagnostics, UNS design, and UNS agents for MCP clients.
-
Connects AI assistants to QCDatabase.AI for everyday construction quality-control work.
Nach Bedeutung gefunden, nicht über gemeinsamen Code oder ein gemeinsames Repository: Ähnliche Plugins bleiben getrennte Produkte, und dies ist weder eine Bewertung noch eine Empfehlung.
Möchten Sie dieses Zeichen für Ihr Plugin in unserem Katalog?
Belegen Sie mit einer Datei im Repository, einer Datei auf Ihrer Domain oder einem DNS-Eintrag, dass Sie es pflegen, und Sie können dieses Zeichen auf der Karte zeigen, dazu Live-Banner für Ihre Website und Ihr README. So funktioniert die Verifizierung
Außerdem erhalten Sie Hinweise, wenn ein Marktplatz es aufnimmt, entfernt, sein Verified-Zeichen oder seine Anforderungen ändert, und sein Remote-Endpunkt wird wie ein Webdienst überwacht.
Daten von Community GitHub marketplaces. Die Zahlen stammen aus unseren eigenen regelmäßigen Durchläufen über die Marktplätze, zuletzt abgerufen am . Kontaktdaten von Plugin-Herausgebern veröffentlichen wir nicht.