apify-competitor-intelligence SKILL.md skillA
apify-competitor-intelligence from francostino/opencode-skills-collection is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add francostino/opencode-skills-collection/apify-competitor-intelligence@git:20260906.7d37dc9Pins git:20260906.7d37dc9 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- francostino/opencode-skills-collection
- Path
bundled-skills/apify-competitor-intelligence/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260906.7d37dc9, committed Sep 6, 2026
- First version recorded
- Jul 7, 2026
- Size
- 5,993 bytes
- Repository stars
- 87
- License
- MIT
Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Competitor Intelligence Analyze competitors using Apify Actors to extract data from multiple platforms. ## When to Use - You need competitor benchmarks for content, reviews, pricing, ads, audience, or channel performance. - The task involves selecting Apify Actors to compare competitors across maps, booking, social, or video platforms. - You need structured competitor data plus synthesized takeaways for strategy or positioning. ## Prerequisites (No need to check it upfront) - `.env` file with `APIFY_TOKEN` - Node.js 20.6+ (for native `--env-file` support) - `mcpc` CLI tool: `npm install -g @apify/mcpc` ## Workflow Copy this checklist and track progress: ``` Task Progress: - [ ] Step 1: Identify competitor analysis type (select Actor) - [ ] Step 2: Fetch Actor schema via mcpc - [ ] Step 3: Ask user preferences (format, filename) - [ ] Step 4: Run the analysis script - [ ] Step 5: Summarize findings ``` ### Step 1: Identify Competitor Analysis Type Select the appropriate Actor based on analysis needs: | User Need | Actor ID | Best For | |-----------|----------|----------| | Competitor business data | `compass/crawler-google-places` | Location analysis | …
Read the whole file at its exact version.
How to install
mdr add francostino/opencode-skills-collection/apify-competitor-intelligence@sha256:2e7b81d3740c3cadThe line at the top of this page pins the label git:20260906.7d37dc9, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_zwpcipkqv7c4xtnj)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jul 7, 2026 and Sep 6, 2026, about one every 30 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260906.7d37dc9 latest | 2026-09-06 | 7d37dc9 | 5,993 B | A | view · diff |
| git:20260730.90257ed | 2026-07-30 | 90257ed | 5,968 B | A | view · diff |
| git:20260707.168343c | 2026-07-07 | 168343c | 5,967 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5993 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
francostino/opencode-skills-collection · 87 stars · license MIT · pushed 2026-10-18 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_zwpcipkqv7c4xtnj GET https://markdownregistry.com/api/v1/resolve?ref=francostino/opencode-skills-collection/apify-competitor-intelligence GET https://markdownregistry.com/api/v1/blob/2e7b81d3740c3cadd3df1e5f4e45fb3d88a0434b6a16623d98ff85492ae38671
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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