Run any Skill in Manus with one click

splunk-appdynamics-database-visibility-setup

Stars31

Forks7

UpdatedJuly 4, 2026 at 01:33

Render and validate Splunk AppDynamics Database Visibility workflows, including Database Agent readiness, Database Visibility API collector CRUD, file-backed database secrets, DB server, node, metric, and event validation. Use when the user asks for AppDynamics Database Visibility, Database Agent, database collector creation or updates, Database Visibility API payloads, DB credential redaction, DB server validation, DB node validation, or database event checks.

Installation

Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.

Run Skill in Manus

Source

chambear2809

chambear2809/splunk-cisco-skills

View GitHub Repository View Creator Repositories

Download

Run Skill in Manus

File Explorer

7 files

SKILL.md

readonly

name	splunk-appdynamics-database-visibility-setup
description	Render and validate Splunk AppDynamics Database Visibility workflows, including Database Agent readiness, Database Visibility API collector CRUD, file-backed database secrets, DB server, node, metric, and event validation. Use when the user asks for AppDynamics Database Visibility, Database Agent, database collector creation or updates, Database Visibility API payloads, DB credential redaction, DB server validation, DB node validation, or database event checks.
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 Database Visibility Setup

Database collector payloads are always rendered with redacted credentials and file-backed secret references. The payloads are operator handoffs, not executable requests; --apply fails closed until collector CRUD has a documented, read-back-validated executor.

bash skills/splunk-appdynamics-database-visibility-setup/scripts/setup.sh --render
bash skills/splunk-appdynamics-database-visibility-setup/scripts/validate.sh

More from this repository

same repository

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-database-visibility-setup
description	Render and validate Splunk AppDynamics Database Visibility workflows, including Database Agent readiness, Database Visibility API collector CRUD, file-backed database secrets, DB server, node, metric, and event validation. Use when the user asks for AppDynamics Database Visibility, Database Agent, database collector creation or updates, Database Visibility API payloads, DB credential redaction, DB server validation, DB node validation, or database event checks.
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 Database Visibility Setup

bash skills/splunk-appdynamics-database-visibility-setup/scripts/setup.sh --render
bash skills/splunk-appdynamics-database-visibility-setup/scripts/validate.sh