Competitor Intelligence

Overview

This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/apify-competitor-intelligence from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

Competitor Intelligence Analyze competitors using Apify Actors to extract data from multiple platforms.

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Prerequisites, Error Handling, Limitations.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• 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.
• Use when the request clearly matches the imported source intent: Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.

Operating Table

Situation	Start here	Why it matters
First-time use	metadata.json	Confirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow
Provenance review	ORIGIN.md	Gives reviewers a plain-language audit trail for the imported source
Workflow execution	reference/scripts/run_actor.js	Starts with the smallest copied file that materially changes execution
Supporting context	reference/scripts/run_actor.js	Adds the next most relevant copied source file without loading the entire package
Handoff decision	## Related Skills	Helps the operator switch to a stronger native skill when the task drifts

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Step 1: Identify competitor analysis type (select Actor)
2. Step 2: Fetch Actor schema via mcpc
3. Step 3: Ask user preferences (format, filename)
4. Step 4: Run the analysis script
5. Step 5: Summarize findings
6. User Need - Actor ID - Best For
7. Competitor business data - compass/crawler-google-places - Location analysis

Imported Workflow Notes

Imported: 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
Competitor contact discovery	poidata/google-maps-email-extractor	Email extraction
Feature benchmarking	compass/google-maps-extractor	Detailed business data
Competitor review analysis	compass/Google-Maps-Reviews-Scraper	Review comparison
Hotel competitor data	voyager/booking-scraper	Hotel benchmarking
Hotel review comparison	voyager/booking-reviews-scraper	Review analysis
Competitor ad strategies	apify/facebook-ads-scraper	Ad creative analysis
Competitor page metrics	apify/facebook-pages-scraper	Page performance
Competitor content analysis	apify/facebook-posts-scraper	Post strategies
Competitor reels performance	apify/facebook-reels-scraper	Reels analysis
Competitor audience analysis	apify/facebook-comments-scraper	Comment sentiment
Competitor event monitoring	apify/facebook-events-scraper	Event tracking
Competitor audience overlap	apify/facebook-followers-following-scraper	Follower analysis
Competitor review benchmarking	apify/facebook-reviews-scraper	Review comparison
Competitor ad monitoring	apify/facebook-search-scraper	Ad discovery
Competitor profile metrics	apify/instagram-profile-scraper	Profile analysis
Competitor content monitoring	apify/instagram-post-scraper	Post tracking
Competitor engagement analysis	apify/instagram-comment-scraper	Comment analysis
Competitor reel performance	apify/instagram-reel-scraper	Reel metrics
Competitor growth tracking	apify/instagram-followers-count-scraper	Follower tracking
Comprehensive competitor data	apify/instagram-scraper	Full analysis
API-based competitor analysis	apify/instagram-api-scraper	API access
Competitor video analysis	streamers/youtube-scraper	Video metrics
Competitor sentiment analysis	streamers/youtube-comments-scraper	Comment sentiment
Competitor channel metrics	streamers/youtube-channel-scraper	Channel analysis
TikTok competitor analysis	clockworks/tiktok-scraper	TikTok data
Competitor video strategies	clockworks/tiktok-video-scraper	Video analysis
Competitor TikTok profiles	clockworks/tiktok-profile-scraper	Profile data

Step 2: Fetch Actor Schema

Fetch the Actor's input schema and details dynamically using mcpc:

export $(grep APIFY_TOKEN .env | xargs) && mcpc --json mcp.apify.com --header "Authorization: Bearer $APIFY_TOKEN" tools-call fetch-actor-details actor:="ACTOR_ID" | jq -r ".content"

Replace ACTOR_ID with the selected Actor (e.g., compass/crawler-google-places).

This returns:

• Actor description and README
• Required and optional input parameters
• Output fields (if available)

Step 3: Ask User Preferences

Before running, ask:

1. Output format:
   • Quick answer - Display top few results in chat (no file saved)
   • CSV - Full export with all fields
   • JSON - Full export in JSON format
2. Number of results: Based on character of use case

Step 4: Run the Script

Quick answer (display in chat, no file):

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT'

CSV:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT' \
  --output YYYY-MM-DD_OUTPUT_FILE.csv \
  --format csv

JSON:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT' \
  --output YYYY-MM-DD_OUTPUT_FILE.json \
  --format json

Step 5: Summarize Findings

After completion, report:

• Number of competitors analyzed
• File location and name
• Key competitive insights
• Suggested next steps (deeper analysis, benchmarking)

Imported: 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

Examples

Example 1: Ask for the upstream workflow directly

Use @apify-competitor-intelligence to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @apify-competitor-intelligence against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @apify-competitor-intelligence for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @apify-competitor-intelligence using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
• Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
• Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
• Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
• Treat generated examples as scaffolding; adapt them to the concrete task before execution.
• Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/apify-competitor-intelligence, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

Resource family	What it gives the reviewer	Example path
references	copied reference notes, guides, or background material from upstream	references/n/a
examples	worked examples or reusable prompts copied from upstream	examples/n/a
scripts	upstream helper scripts that change execution or validation	scripts/n/a
agents	routing or delegation notes that are genuinely part of the imported package	agents/n/a
assets	supporting assets or schemas copied from the source package	assets/n/a

• scripts/run_actor.js

Imported Reference Notes

Imported: Error Handling

APIFY_TOKEN not found - Ask user to create .env with APIFY_TOKEN=your_token mcpc not found - Ask user to install npm install -g @apify/mcpc Actor not found - Check Actor ID spelling Run FAILED - Ask user to check Apify console link in error output Timeout - Reduce input size or increase --timeout

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.