# adobe/skills

> A collection of Adobe "skills" plugins that add Adobe product know-how (Analytics, Customer Journey Analytics, Workfront, AEM, Commerce, App Builder) to AI coding agents such as Claude Code, GitHub Copilot and Cursor.

- Magnitude: 1.7 out of 10 — Steady
- Stars: 293 total · +2 stars measured 2026-10-22, 10:42–12:59 UTC, ≈ 4 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: JavaScript · License: Apache-2.0 · Created: 2026-02-05 · Last push: 2026-10-22
- GitHub: https://github.com/adobe/skills · Homepage: https://www.adobe.com/ai/overview.html · Page: https://gitnova.dev/en/r/adobe/skills

## Useful for

- Install the adobe-analytics plugin to query the AA MCP server for KPI digests
- Ask an agent to analyze a checkout funnel and where users drop off
- Use the workfront plugin to get Workfront Planning architecture guidance

## Why it’s here

- Star-counter measurements on 2026-10-22 (UTC), 10:42–12:59: 291 → 293 stars (+2). This is the change over that interval.
- Estimated end-of-day forecast: about +4 stars, using observed gains and the previous day.
- GitHub Trending JavaScript today: #5, +6 stars.
- Recent forks include notable developers: @carlossg (546 followers).

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 90
- Issues and pull requests: 469
- Watchers: 9
- Average over the last week: 14 per day
- Usual pace: 0 per day
- Stars in the last hour (measured): 0
- Latest release: web-cli-v2.0.0 (2026-10-21)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-23 … 2026-10-22: 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 8, 39, 38, 6, 2

## Spotted in now

- GitHub Trending JavaScript today: #5, +6 stars

## More in this category

1. **google-research/harness2** — 7.8 · Peaking · AI agents · Python · +481 stars measured 2026-10-22, 00:37–12:51 UTC, ≈ 986 by evening
   A framework for recursive optimization of AI agent harnesses (prompts, tools, memory, skills) without fine-tuning model weights, with JobBench, LAB and WorkBuddy-Bench benchmarks.
   Full card: https://gitnova.dev/en/r/google-research/harness2.md
2. **Graphify-Labs/graphify** — 7.1 · Breakout · AI agents · Python · +715 stars measured 2026-10-22, 00:37–13:04 UTC, ≈ 1,330 by evening
   Turns any codebase, docs, SQL schemas, configs, and PDFs into a queryable knowledge graph. Works as a /graphify skill in Claude Code, Cursor, Codex, and Gemini CLI with local deterministic AST parsing.
   Full card: https://gitnova.dev/en/r/Graphify-Labs/graphify.md
3. **ai-job-search-dev/ai-job-search** — 6.9 · Peaking · AI agents · Python · +330 stars measured 2026-10-22, 00:37–12:51 UTC, ≈ 831 by evening
   A job application framework built on Claude Code: evaluates postings, tailors CVs, and writes cover letters. Runs locally, focused on the Danish job market.
   Full card: https://gitnova.dev/en/r/ai-job-search-dev/ai-job-search.md
4. **omnara-ai/omnara** — 6.5 · Breakout · AI agents · Go · +151 stars measured 2026-10-22, 00:01–12:51 UTC, ≈ 242 by evening
   Omnara is an open-source, self-hostable platform for running managed AI agents on any model and any machine, with tools, secrets, permissions, and streaming built in. It serves as an alternative to Claude Managed Agents and OpenAI's…
   Full card: https://gitnova.dev/en/r/omnara-ai/omnara.md
5. **bowenliang123/dsh-context** — 6.2 · Breakout · AI agents · TypeScript · +202 stars measured 2026-10-22, 00:37–12:52 UTC, ≈ 384 by evening
   A DeepSeek Harness plugin that visualizes an agent's context: dashboard, browser, sidebar panel and /context command showing composition, stats and evolution of the context window.
   Full card: https://gitnova.dev/en/r/bowenliang123/dsh-context.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-22 13:05 UTC, updated every 30 minutes.