تشغيل أي مهارة في Manus بنقرة واحدة

splunk-appdynamics-tags-extensions-setup

النجوم٣١

التفرعات٧

آخر تحديث٤ يوليو ٢٠٢٦ في ٠١:٣٣

Render and validate Splunk AppDynamics tags, extensions, and integration-module workflows, including Custom Tag APIs, tag enablement, Machine Agent custom metrics, Integration Modules, extensions, ServiceNow, Jira, Scalyr, Agent Command Center, and Log Auto-Discovery runbooks. Use when the user asks for AppDynamics custom tags, tag APIs, extensions, Machine Agent custom metrics, Integration Modules, ServiceNow, Jira, Scalyr, Agent Command Center, or Log Auto-Discovery.

التثبيت

التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.

تشغيل في Manus

المصدر

chambear2809

chambear2809/splunk-cisco-skills

فتح مستودع GitHub عرض مستودعات المنشئ

تنزيل

تشغيل في Manus

مستكشف الملفات

7 ملفات

SKILL.md

readonly

name	splunk-appdynamics-tags-extensions-setup
description	Render and validate Splunk AppDynamics tags, extensions, and integration-module workflows, including Custom Tag APIs, tag enablement, Machine Agent custom metrics, Integration Modules, extensions, ServiceNow, Jira, Scalyr, Agent Command Center, and Log Auto-Discovery runbooks. Use when the user asks for AppDynamics custom tags, tag APIs, extensions, Machine Agent custom metrics, Integration Modules, ServiceNow, Jira, Scalyr, Agent Command Center, or Log Auto-Discovery.
compatibility	No direct Splunk Platform runtime dependency. This workflow can be used alongside Splunk Cloud Platform 10.5.2605 through its documented external APIs or handoffs.
metadata	{"splunk_cloud_10_5":"not-applicable","compatibility_verified":"2026-07-02"}

Splunk AppDynamics Tags Extensions Setup

Tag payloads, extensions, and third-party systems render operator/owner runbooks. This wrapper has no mutation executor and --apply fails closed.

bash skills/splunk-appdynamics-tags-extensions-setup/scripts/setup.sh --render
bash skills/splunk-appdynamics-tags-extensions-setup/scripts/validate.sh

المزيد من هذا المستودع

نفس المستودع

cisco-data-fabric-setup

chambear2809/splunk-cisco-skills

Research, map, render, doctor, validate, and safely delegate complete Cisco Data Fabric adoption plans across Splunk data management, Edge Processor, Ingest Processor, SPL2, Federated Search, Machine Data Lake, Data Catalog, Splunk indexes and external stores, AI Toolkit and hosted models, Agent Builder, MCP Server, AI Canvas, context, governance, and cross-domain consumers. Use when users need Cisco Data Fabric architecture, feature or product coverage, readiness assessments, gap analysis, machine-data activation, federation targets, storage tiering, AI-ready data, or AgenticOps data foundation requests. Distinguish this architecture from a single product, package, entitlement, or direct API.

2026-07-0431

cisco-cloud-control-setup

chambear2809/splunk-cisco-skills

Render, validate, doctor, and optionally execute delegated setup plans for Cisco Cloud Control adoption, AI Canvas readiness, Cloud Control Studio handoffs, official Cloud Control feature coverage, Cisco Workflows API readiness, delegated Cisco Data Fabric architecture coverage, MCP connectors, Splunk AI Agent Monitoring, Observability content, and Cisco domain readiness. Use when the user asks to prepare Cisco Cloud Control, AgenticOps, AI Canvas, Cloud Control Studio, Cloud Control Workflows, or governed Cisco/Splunk agent execution workflows.

2026-07-0431

cisco-product-setup

chambear2809/splunk-cisco-skills

Resolve a Cisco product name from the SCAN catalog and route installation, configuration, and validation through the correct existing setup skill. Use when the user asks to set up Splunk for a Cisco product such as ACI, Nexus 9000, Duo, Meraki, ThousandEyes, ASA, or FTD, including choosing the dedicated ASA syslog TA versus Cisco Security Cloud API or eStreamer collection.

2026-07-0431

splunk-ai-ml-toolkit-setup

chambear2809/splunk-cisco-skills

Install, render, validate, and audit Cisco Data Fabric AI Toolkit and Splunk-owned AI and machine-learning workflows beyond Splunk AI Assistant: Splunk AI Toolkit / MLTK (`Splunk_ML_Toolkit`), Python for Scientific Computing (PSC), Splunk App for Data Science and Deep Learning (DSDL), MLTK anomaly workflows, LLM/`ai` command readiness, external model runtimes, and legacy anomaly app migration. Use when the user asks about MLTK, Splunk AI Toolkit, Machine Learning Toolkit, PSC, Python for Scientific Computing, DSDL, Deep Learning Toolkit, Splunk anomaly detection assistants, AI Toolkit Agent Builder, the `aiagent` command, Cisco Time Series Model, Cisco Deep Time Series Model, Smart Alerts Assistant, or AI/ML product coverage outside Splunk AI Assistant, including Cisco Data Fabric requests about AI Toolkit or machine-data model workflows.

2026-07-0431

splunk-federated-search-setup

chambear2809/splunk-cisco-skills

Use when configuring Cisco Data Fabric federated search or standalone Splunk Federated Search, cross-domain search, federated analytics, S3 data-lake search, or querying data where it resides. Render, preflight, apply, and validate FSS2S standard/transparent providers and reviewed legacy FSS3 payloads; render 10.5 migration guidance and current Data Management handoffs for S3, Azure, Databricks, Snowflake, and DDSS; distinguish Glue, Iceberg REST, and Splunk-native catalogs; preserve handoff-only Amazon Security Lake (`aws_lake`) and Cisco SAL (`aws_s3_sal`) identities; and manage supported global-switch, status, file, SHC, and REST workflows.

2026-07-0431

splunk-ingest-processor-setup

chambear2809/splunk-cisco-skills

Render Cisco Data Fabric ingest-time routing workflows and Splunk Cloud Platform Ingest Processor setup plans with SPL2 pipelines, source types, destinations, lifecycle handoffs, queue and monitoring searches, metrics, OCSF, decrypt, S3 archive, custom pipeline templates, AI-powered data management readiness, Automated Field Extraction, Guided Onboarding with Auto-Schematization, and downstream readiness checks. Use when the user asks to configure Ingest Processor, author Ingest Processor pipelines, route or transform data at ingest time, validate Ingest Processor readiness, or compare Ingest Processor with Edge Processor and Data Manager, including Cisco Data Fabric or telemetry pipeline management requests that involve Splunk Cloud ingest-time routing and transformation.

2026-07-0431

name	splunk-appdynamics-tags-extensions-setup
description	Render and validate Splunk AppDynamics tags, extensions, and integration-module workflows, including Custom Tag APIs, tag enablement, Machine Agent custom metrics, Integration Modules, extensions, ServiceNow, Jira, Scalyr, Agent Command Center, and Log Auto-Discovery runbooks. Use when the user asks for AppDynamics custom tags, tag APIs, extensions, Machine Agent custom metrics, Integration Modules, ServiceNow, Jira, Scalyr, Agent Command Center, or Log Auto-Discovery.
compatibility	No direct Splunk Platform runtime dependency. This workflow can be used alongside Splunk Cloud Platform 10.5.2605 through its documented external APIs or handoffs.
metadata	{"splunk_cloud_10_5":"not-applicable","compatibility_verified":"2026-07-02"}

Splunk AppDynamics Tags Extensions Setup

Tag payloads, extensions, and third-party systems render operator/owner runbooks. This wrapper has no mutation executor and --apply fails closed.

bash skills/splunk-appdynamics-tags-extensions-setup/scripts/setup.sh --render
bash skills/splunk-appdynamics-tags-extensions-setup/scripts/validate.sh