steam api
Connect your agent to the Steam Web API to fetch player data, game libraries, and achievement statistics.
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THE AGENSI STORE
212 skills found
Connect your agent to the Steam Web API to fetch player data, game libraries, and achievement statistics.
by Shandra
Creates trustworthy research briefs by verifying claims, grading sources, separating facts from assumptions, identifying weak evidence, and producing citation-ready outputs.
Turn live Agensi marketplace signals and high-signal user data into actionable product development intelligence.
Audit any URL for technical SEO, Core Web Vitals, on-page issues, and content gaps against up to three competitors, then get a ranked, ready-to-hand-off action plan. Uses live crawl data and PageSpeed signals, with optional Ahrefs/Moz/Semrush APIs when you have them.
by Roy Yuen
Convert local keyword and competitor data into prioritized, evidence-based SEO action plans.
Design scalable, data-driven SEO page systems with keyword templates and quality-controlled workflows.
by Judy S
Turn your photos and shopping order screenshots into a structured, searchable JSON wardrobe database with AI vision and automated linting.
by Arbaz Asif
A structured HVAC consultant that calculates AC sizing and prioritizes specs based on climate, room data, and budget.
by Timoranjes
Comprehensive security auditing for AI agents, covering prompt injection, tool permissions, and data leakage risks.
Expert Oracle PL/SQL architect for writing, refactoring, and performance-tuning enterprise database logic.
by Shandra
Reviews contracts and DPAs for GDPR-related triage issues, extracts obligations, flags missing clauses, creates risk tables, and generates legal-review checklists.
An adversarial gate that audits an AI eval or test suite — LLM-judge rubrics, datasets, regression tests, metrics — for gameable criteria, data leakage, missing edge cases, and non-determinism, then returns one PASS/REVISE/FAIL verdict.
by LB Creations
Maintain durable, lean, and consistent AI agent memory across sessions while preventing context bloat and data leaks.
Turn CRM exports into sales rep scorecards: 0-100 performance scores across activity, pipeline, conversion, and forecast accuracy, plus evidence-based coaching notes for weekly 1-on-1s. One review-ready report instead of a spreadsheet weekend.
by LocoLoboZ
Expert technical configuration and data mapping for Make.com modules, IML expressions, and automation logic.
Scaffold a complete, production-ready Stripe subscription system — Checkout, customer portal, hardened webhooks, plans, seats, proration, and dunning — wired to your database.
Scan your schemas, seed data, config, and logs for personal data before it leaks. Detects PII-indicating column and key names (email, ssn, phone, address) across SQL, CSV, and JSON, plus PII in the data itself: email addresses, SSN-like numbers, credit-card-like numbers, phone numbers, and PII written into log files. Each finding is flagged with its location and a GDPR-style review note. Heuristic by design: it surfaces what to review, not a compliance guarantee.
by Shandra
Turns plain-English business questions into safe read-only SQL reporting plans, required table/field maps, readable SQL drafts, validation checks, and manager-friendly summaries.
Audit your Supabase project for the row-level-security mistakes that quietly expose data: tables without RLS, policies that resolve to true, leaked service-role keys, missing auth.uid() checks, open storage buckets, overbroad grants, and migration drift. A local, read-only scan plus a full review checklist, each finding with severity, evidence, and a fix. No database changes without confirmation.
Turn a raw account CSV into balanced sales territories: assigns accounts by region, industry, workload, and ARR, flags orphaned high-value accounts, and hands managers specific rebalancing moves. Compares region-based vs industry-based models so coverage is even instead of cherry-picked.
by Joker
Python project routing for Web API/crawler/automation/data/CLI. FastAPI/Django/Flask selection, async patterns, deployment strategies.
Run a 10,000-iteration Monte Carlo forecast on your pipeline CSV to get P50/P70/P90 revenue confidence intervals, an ASCII distribution histogram, and what-if scenarios for slipped deal dates. Answers 'how likely are we to hit the number?' instead of a flat weighted-pipeline guess.
by Joker
DB type routing, selection decision tree, relational/NoSQL design, performance optimization, 2026 trends.
Protect sensitive data before it reaches an AI model and automatically restore it in the final response.