New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Adobe Observability

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Instrument Adobe integrations with redacted structured logs, request/job/activation correlation, service-level indicators, alerts, and evidence retention.

MITAuto-check passedDevOps & Cloud

Install Adobe Observability

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill adobe-observability -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace adobe-observability --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/adobe-observability .claude/skills/adobe-observability && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
adobe-observability
GitHub stars
2.8k
Token cost
~1.1k tokens
SKILL.md length
430 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Instrument Adobe integrations with redacted structured logs, request/job/activation correlation, service-level indicators, alerts, and evidence retention.

  • Works in 6 steps: Define SLOs, telemetry consumers, data… → Inventory logs, metrics, traces,… → Create a redacted correlation model from… → …
  • The task requires adobe content-safe observability
  • SKILL.md covers Overview, Prerequisites, Current Contract and Authentication, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Adobe Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace. Instrument Adobe integrations with redacted structured logs, request/job/activation correlation, service-level indicators, alerts, and evidence retention. Use when the task requires adobe content-safe observability. Trigger with "monitor Adobe API", "Adobe observability", or "App Builder logs".

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/official-docs.md`). Compatibility notes: Designed for Claude Code; live Adobe actions require network access, appropriate entitlement and authentication, and explicit approval

It sits in DevOps & Cloud, covering Observability. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • The task requires adobe content-safe observability
  • With monitor Adobe API
  • Adobe observability
  • App Builder logs

Example prompts

  • “monitor Adobe API”
  • “Adobe observability”
  • “App Builder logs”
  • “/adobe-observability”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code; live Adobe actions require network access, appropriate entitlement and authentication, and explicit approval
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, Write, Edit

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Define SLOs, telemetry consumers, data classification, retention, and incident evidence needs.
  2. Inventory logs, metrics, traces, dashboards, activations, queue evidence, and current blind spots by execution mode.
  3. Create a redacted correlation model from ingress through queue, Adobe request/job, storage, and downstream acknowledgement.
  4. Measure availability, terminal success, queue age, vendor time, 429s, retries, unknown jobs, duplicates, and cleanup lag.
  5. Add alerts tied to actionable runbooks, budget limits, credential/EOL dates, event disablement, and stale assets.
  6. Run content/secret/URL canaries, failure drills, retention verification, and dashboard reconciliation.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep
    • Write
    • Edit

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code; live Adobe actions require network access, appropriate entitlement and authentication, and explicit approval

    From compatibility in the SKILL.md frontmatter.

Context cost

Adobe Observability loads about 1.1k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 430 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 430 words, ~1,067 tokens.

Download SKILL.mdSave it as .claude/skills/adobe-observability/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
adobe-observability
description
Instrument Adobe integrations with redacted structured logs, request/job/activation correlation, service-level indicators, alerts, and evidence retention. Use when the task requires adobe content-safe observability. Trigger with "monitor Adobe API", "Adobe observability", or "App Builder logs".
allowed-tools
Read, Glob, Grep, Write, Edit
compatibility
Designed for Claude Code; live Adobe actions require network access, appropriate entitlement and authentication, and explicit approval
argument-hint
<services> <objectives> <telemetry-destination>
version
1.8.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, adobe, observability
model
inherit
effort
high

Adobe Content-Safe Observability

Overview

Instrument Adobe integrations with redacted structured logs, request/job/activation correlation, service-level indicators, alerts, and evidence retention. This workflow produces a reviewable artifact and evidence before any live side effect.

Prerequisites

  • Current first-party Adobe documentation for every selected service, API version, auth flow, limit, and lifecycle.
  • Named product, identity, security, data, budget, release, and operations owners appropriate to the scope.
  • Synthetic or approved non-production fixtures with secret and content canaries.

Current Contract

App Builder local, Runtime activation, CLI, and Console log surfaces differ. Successful activation persistence is mode-dependent; current Console application logs can provide broader visibility. Runtime log size and retention are bounded and mutable. Recheck the dated evidence map before relying on mutable product behavior.

Authentication

Log service, operation, environment aliases, request/job/activation IDs, state, status class, duration, retry, bytes, and usage class. Never log secrets, Authorization, signed URLs, prompts, document/image/event content, or direct identifiers.

Instructions

  1. Define SLOs, telemetry consumers, data classification, retention, and incident evidence needs.
  2. Inventory logs, metrics, traces, dashboards, activations, queue evidence, and current blind spots by execution mode.
  3. Create a redacted correlation model from ingress through queue, Adobe request/job, storage, and downstream acknowledgement.
  4. Measure availability, terminal success, queue age, vendor time, 429s, retries, unknown jobs, duplicates, and cleanup lag.
  5. Add alerts tied to actionable runbooks, budget limits, credential/EOL dates, event disablement, and stale assets.
  6. Run content/secret/URL canaries, failure drills, retention verification, and dashboard reconciliation.
Show full SKILL.md (194 more words)Show less

Tool Discipline

Use Read, Glob, and Grep to inspect current documentation, configuration, code, fixtures, and evidence. Use Write and Edit only for approved repository artifacts. Skill invocation alone does not authorize network access, credentials, Adobe content, consent, uploads, generation, spend, deployment, registration changes, replay, cancellation, or deletion.

Approval Boundaries

Security and data owners approve telemetry fields and destinations; operations owns alerts and retention. Extra logging or external forwarding requires explicit approval.

Error Handling

  • Do not enable production extra logging as a default workaround.
  • Do not treat missing successful activations as zero traffic.
  • Stop telemetry export if content or signed-URL canaries appear.

Output

Return telemetry schema, redaction rules, SLO/SLI definitions, dashboards, alert/runbook mapping, canary evidence, gaps, and owners. Mark assumptions, observed environment behavior, owners, evidence dates, and unresolved gaps explicitly.

Examples

  • Correlate one async job without logging its prompt or output URL.
  • Trigger and resolve a synthetic disabled-event or 429 alert.

Validation

Exercise and record expected and observed results for:

  • success
  • 429
  • unknown job
  • vendor outage
  • content canary
  • retention expiry

Resources

  • Current first-party evidence map — recheck dated Adobe sources before execution.
  • Treat observed tenant or product behavior as environment-specific evidence, never a universal Adobe guarantee.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/adobe-observability of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/official-docs.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Adobe Observability next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Adobe Observability compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Adobe Observability this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT
Vercel Optimize Auditvercel-labs/agent-skills32k8 repos~4.3kAutomated safety check: PassNone
Kubeshark Installerkubeshark/kubeshark12k—~3.6kAutomated safety check: NotesApache-2.0
Kubeshark KFL2 Filter Referencekubeshark/kubeshark12k—~3.6kAutomated safety check: PassApache-2.0
KubeSphere ServiceMesh Managerkubesphere/kubesphere17k—~2.4kAutomated safety check: PassCustom licence
Kubernetes Network Root Cause Analysiskubeshark/kubeshark12k—~5.3kAutomated safety check: PassApache-2.0

Similar skills

  • Vercel Optimize Audit

    vercel-labs/agent-skills

    Official

    Runs a metrics-first audit of a deployed Vercel project, gating investigations on real signals to produce ranked, citation-backed cost and performance recommendations.

    32k GitHub starsUsed in 8 repos~4.3k tokens
    DevOps & CloudAuto-check passed

  • Kubeshark Installer

    kubeshark/kubeshark

    Installs and configures Kubeshark on a Kubernetes cluster, choosing between the quick CLI path and a Helm install with custom values.

    12k GitHub stars~3.6k tokensUpdated yesterday
    DevOps & CloudAuto-check: notes

  • Kubeshark KFL2 Filter Reference

    kubeshark/kubeshark

    Syntax reference for KFL2, the CEL-based display filter language used to search Kubernetes network traffic captured by Kubeshark, loaded before any filter is written.

    12k GitHub stars~3.6k tokensUpdated yesterday
    DevOps & CloudAuto-check passed

  • KubeSphere ServiceMesh Manager

    kubesphere/kubesphere

    Installs, checks and troubleshoots the KubeSphere ServiceMesh extension (Istio, Kiali, Jaeger), including grayscale release, sidecar injection, topology and tracing issues.

    17k GitHub stars~2.4k tokensUpdated 2 mo ago
    DevOps & CloudAuto-check passed

  • Kubernetes Network Root Cause Analysis

    kubeshark/kubeshark

    Investigates past Kubernetes incidents from Kubeshark traffic snapshots: takes captures, dissects API calls, extracts PCAPs and compares traffic over time.

    12k GitHub stars~5.3k tokensUpdated yesterday
    DevOps & CloudAuto-check passed

  • Caveman Gateway Setup

    JuliusBrussee/caveman

    Routes every LLM call in a repository through the Caveman Cloud gateway in record mode, so requests and costs are measured without changing behavior.

    111k GitHub starsUsed in 1 repo~2.6k tokens
    DevOps & CloudAuto-check: warnings

More from jeremylongshore/tons-of-skills-marketplace

All 3,342 skills in this repo

  • Performing Security Code Review

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.

    2.8k GitHub starsUsed in 2 repos~1.3k tokens
    Auto-check: notes

  • Adapting Transfer Learning Models

    jeremylongshore/tons-of-skills-marketplace

    Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed

  • Agent Context Loader

    jeremylongshore/tons-of-skills-marketplace

    Execute proactive auto-loading: automatically detects and loads agents.md files.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed

  • Aggregating Performance Metrics

    jeremylongshore/tons-of-skills-marketplace

    Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.

    2.8k GitHub stars~1.2k tokensUpdated today
    Auto-check passed

  • Analyzing Capacity Planning

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.

    2.8k GitHub stars~947 tokensUpdated today
    Auto-check passed

  • Analyzing Database Indexes

    jeremylongshore/tons-of-skills-marketplace

    Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.

    2.8k GitHub stars~2k tokensUpdated today
    Auto-check passed

Categories

Questions about Adobe Observability

What does Adobe Observability do?

Instrument Adobe integrations with redacted structured logs, request/job/activation correlation, service-level indicators, alerts, and evidence retention. Adobe Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace. Instrument Adobe integrations with redacted structured logs, request/job/activation correlation, service-level indicators, alerts, and evidence retention.

When should I use Adobe Observability?

Adobe Observability fits situations like: the task requires adobe content-safe observability; with monitor Adobe API; adobe observability; app Builder logs.

How do I install Adobe Observability in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill adobe-observability -a claude-code`. Or copy the skill folder (skills/.curated/adobe-observability in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/adobe-observability in your project. Claude Code loads it when a task matches its description.

How do I install Adobe Observability in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill adobe-observability -a codex`. Or copy the skill folder (skills/.curated/adobe-observability in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/adobe-observability in your project. Codex loads it when a task matches its description.

Can I use Adobe Observability in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill adobe-observability -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/adobe-observability, .gemini/skills/adobe-observability, .github/skills/adobe-observability and .opencode/skills/adobe-observability in your project.

What does Adobe Observability need to run?

SKILL.md names no scripts, command-line tools or credentials: Adobe Observability is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; live Adobe actions require network access, appropriate entitlement and authentication, and explicit approval.

Does Adobe Observability access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Adobe Observability safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Adobe Observability use?

Adobe Observability is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Adobe Observability use?

About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 801 tokens, read only when the agent opens those files.

What are the alternatives to Adobe Observability?

Skills that share tags, products or a category with Adobe Observability: Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars), Kubeshark Installer (kubeshark/kubeshark, 12k stars), Kubeshark KFL2 Filter Reference (kubeshark/kubeshark, 12k stars) and KubeSphere ServiceMesh Manager (kubesphere/kubesphere, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Adobe Observability?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.