firecrawl-competitive-intel
Monitor competitor pricing, features, changelogs, dashboards, and product changes with Firecrawl. Use for recurring competitive intelligence, pricing tier extraction, feature change tracking, or structured competitor alerts.
- License 许可
- ISC
- 最近更新
- 2026-11-09
- Stars
- ★ 3
- Forks
- 0
01 前言 Front Matter
- name
- firecrawl-competitive-intel
- inputs
- [ { "name": "FIRECRAWL_API_KEY", "required": true, "description": "Firecrawl API key for hosted Firecrawl requests." } ]
- license
- ISC
- metadata
- { "author": "firecrawl", "source": "https://github.com/firecrawl/firecrawl-workflows", "version": "0.1.0", "homepage": "https://www.firecrawl.dev" }
- description
- Monitor competitor pricing, features, changelogs, dashboards, and product changes with Firecrawl. Use for recurring competitive intelligence, pricing tier extraction, feature change tracking, or structured competitor alerts.
02 资源文件 49
- 参考文档docs/01_CLARIFY_FIRST_CALIBRATION.md4.4 KB
- 参考文档docs/QUESTION_VALIDATION_WALKTHROUGH.md15.8 KB
- 参考文档docs/WALKTHROUGH_2TIER_RETRIEVAL.md22.1 KB
- 其他env.required18 B
- 脚本run.sh1.1 KB
- 脚本sanity.sh901 B
- 脚本scripts/enrich_training_data.py4.6 KB
- 脚本scripts/generate_diverse_evidence_data.py17.8 KB
- 脚本scripts/harvest_skill_chains.py10.8 KB
- 脚本scripts/train_evidence_classifier.py4.5 KB
- 脚本scripts/train_tabular_evidence_classifier.py6.6 KB
- 脚本sparta_stress_test/__init__.py59 B
- 脚本sparta_stress_test/cli_bank_generator.py11.0 KB
- 脚本sparta_stress_test/cli_display.py8.1 KB
- 脚本sparta_stress_test/cli.py25.8 KB
- 脚本sparta_stress_test/control_validation.py7.6 KB
- 脚本sparta_stress_test/conversation_batch.py23.4 KB
- 脚本sparta_stress_test/conversation_grading.py30.9 KB
- 脚本sparta_stress_test/conversation_models.py11.5 KB
- 脚本sparta_stress_test/conversation_prompts.py6.8 KB
- 脚本sparta_stress_test/conversation_retrieval.py31.9 KB
- 脚本sparta_stress_test/conversation_runner.py33.0 KB
- 脚本sparta_stress_test/conversation_sim.py4.3 KB
- 脚本sparta_stress_test/conversation_steering.py18.8 KB
- 脚本sparta_stress_test/conversation_synthesis.py15.2 KB
- 脚本sparta_stress_test/conversation_traceability.py8.8 KB
- 脚本sparta_stress_test/enrich_f36_taxonomy.py5.6 KB
- 脚本sparta_stress_test/entity_classifier/__init__.py684 B
- 脚本sparta_stress_test/entity_classifier/classifier.py12.7 KB
- 脚本sparta_stress_test/entity_classifier/extractor.py8.2 KB
- 脚本sparta_stress_test/entity_classifier/validator.py4.7 KB
- 脚本sparta_stress_test/evidence_grader.py13.6 KB
- 脚本sparta_stress_test/grader.py28.3 KB
- 脚本sparta_stress_test/grading.py25.9 KB
- 脚本sparta_stress_test/models.py7.8 KB
- 脚本sparta_stress_test/persona_synthesis_runner.py14.2 KB
- 脚本sparta_stress_test/prompts.py6.8 KB
- 脚本sparta_stress_test/question_bank.py5.6 KB
- 脚本sparta_stress_test/question_miner.py28.7 KB
- 脚本sparta_stress_test/question_quality.py18.4 KB
- 脚本sparta_stress_test/response_quality.py3.4 KB
- 脚本sparta_stress_test/retrieval.py28.0 KB
- 脚本sparta_stress_test/routing.py10.9 KB
- 脚本sparta_stress_test/runner.py31.0 KB
- 脚本sparta_stress_test/semantic_grader_prompts.py15.0 KB
- 脚本sparta_stress_test/semantic_grader.py30.1 KB
- 脚本sparta_stress_test/session_runner.py29.5 KB
- 脚本sparta_stress_test/shadow_lego.py20.1 KB
- 脚本sparta_stress_test/sparta_answer.py16.8 KB
03 SKILL.md 正文
Firecrawl Competitive Intel
Use this for monitoring competitors over time. This is not the broad competitor analysis workflow.
Onboarding Interview
Infer competitors, focus, cadence, and output format from context. If competitors are clear, proceed immediately.
Ask at most 1-3 concise questions only if blocked, such as the competitor list, focus area, or whether authenticated pages/profiles are required.
Firecrawl Collection Plan
For each competitor, use Firecrawl scrape or browser as needed:
- pricing pages, annual/monthly toggles, expanded feature tables
- feature and product pages
- changelogs, blogs, release notes, docs updates
- authenticated dashboards only when the user has legitimate access
Parallel Work
If appropriate, use sub-agents or equivalent parallel task runners. A natural split is one competitor per researcher or one focus area per researcher.
Each researcher should return pricing tiers, features, recent changes, source URLs, and confidence notes.
Final Deliverable
# Competitive Intel: [Competitors]
## Alerts
[Notable pricing, feature, or positioning changes]
## Per-Competitor Breakdown
[Pricing tiers, feature inventory, recent changes]
## Cross-Competitor Comparison
[Pricing table, feature matrix, key differentiators]
## Suggested Follow-Ups
[What to monitor next]
## Sources
[URLs visited]
## Rerun Inputs
workflow: firecrawl-competitive-intel
competitors: [list]
focus: [all/pricing/features/changelog]
cadence: [one-off/weekly/monthly]
JSON Shape
When structured output is requested, include generatedAt, competitors, pricing, recentChanges, features, and sources.
Quality Bar
- Extract real plan names, limits, and dates when available.
- Note contact-sales or gated details instead of guessing.
- Preserve sources for diffing future runs.
04 同仓库更多 Skills
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ckm:design
Comprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social/ads/web/print), icon design (15 styles, SVG, Gemini 3.1 Pro), social photos (HTML→screenshot, multi-platform). Actions: design logo, create CIP, generate mockups, build slides, design banner, generate icon, create social photos, social media images, brand identity, design system. Platforms: Facebook, Twitter, LinkedIn, YouTube, Instagram, Pinterest, TikTok, Threads, Google Ads.
ckm:design-system
Token architecture, component specifications, and slide generation. Three-layer tokens (primitive→semantic→component), CSS variables, spacing/typography scales, component specs, strategic slide creation. Use for design tokens, systematic design, brand-compliant presentations.
ckm:banner-design
Design banners for social media, ads, website heroes, creative assets, and print. Multiple art direction options with AI-generated visuals. Actions: design, create, generate banner. Platforms: Facebook, Twitter/X, LinkedIn, YouTube, Instagram, Google Display, website hero, print. Styles: minimalist, gradient, bold typography, photo-based, illustrated, geometric, retro, glassmorphism, 3D, neon, duotone, editorial, collage. Uses ui-ux-pro-max, frontend-design, ai-artist, ai-multimodal skills.
supabase-postgres-best-practices
Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pg_cron, pgmq), vector/semantic search (pgvector), and restoring dumps (pg_restore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.
scrapedo-search
Search Google and read web pages (as Markdown) through Scrape.do, keeping each result's link so every finding can be cited. Use for account and company research, competitor and pricing checks, finding a page that answers a question, or reading a page a search turned up.