Prompt Dataset Builder
by Edric Vale
Build and curate high-quality prompt datasets for fine-tuning and eval — deduped and labeled.
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THE AGENSI STORE
69 skills found
by Edric Vale
Build and curate high-quality prompt datasets for fine-tuning and eval — deduped and labeled.
by Frank Brsrk
Design rigorous chaos engineering experiments and resilience audits to verify production system reliability.
by Shandra
Diagnoses unreliable tests, identifies root causes, creates stabilization plans, and generates safe AI coding prompts for fixing flaky unit, integration, E2E, and CI tests.
Run real Playwright E2E tests on your web app: login, checkout, and form flows across desktop and mobile viewports, with screenshots, traces, and console logs captured on every failure. Catches broken flows and UI regressions before release, and tells you the likely fix, not just that something broke.
by Roy Yuen
Reliable UIA-based Windows desktop automation with OCR and image matching fallbacks.
A structured CRO audit workflow that identifies conversion killers and generates prioritized fix lists and AB tests.
by Shogun Labs
Bypass Cloudflare WAF, reCAPTCHA v3, and Vue.js bot detection in one skill.
by Joker
5D copy scene routing, 10+ formula library (AIDA/PAS/4U/FAB/BAB), 15 headline formulas, A/B testing SOP.
by Timoranjes
Detect, diagnose, and fix intermittent test failures to stabilize your CI pipeline and restore developer trust.
Audit and refine vulnerability reports to maximize bounty payouts and reduce N/A or duplicate closures.
Lint an exported n8n workflow before it ships: catches broken or duplicated nodes, missing error handlers, credential stubs, unhandled retries, unsafe webhooks, brittle expressions, and missing idempotency. A read-only pass over your workflow JSON that ranks production-readiness gaps with evidence and concrete fixes.
Map the blast radius of a code change before you run the whole suite. For the files and functions you changed, it lists what imports or calls them, which tests cover them, flags any change with no covering test, and warns when a file has a lot of dependents. It tells an agent what its edit might break instead of making it guess. Resolves Python and JavaScript/TypeScript.
One-line summary description Stop your agent from claiming "done" before it's proven. A verification gate that classifies each change by risk (payment, auth, database, user-facing), picks the tests that actually cover it, demands evidence, maps regression risk, and outputs an honest pass/fail report. Turns "looks good to me" into "here's what I ran, and here's what's still unverified."
Find the unit tests that pass without testing anything. Flags tests with no assertions, trivial existence-only checks (toBeDefined, assertIsNotNone), tests that assert the exact value they just mocked, snapshot-only tests, tautological assertions (expect(true).toBe(true)), empty placeholders, and over-mocked tests with more setup than assertions. Works on Jest/Vitest and pytest/unittest.
Generate runnable accessibility regression tests, not just a findings report. Detects a11y issues, missing alt text, unlabeled controls, keyboard and focus gaps, in your routes, components, or HTML, then emits Playwright + axe-core spec files with targeted assertions and remediation tickets for each. Previews the tests first and writes them only on your confirmation.
Lint an OpenAPI spec and diff two versions to catch breaking API changes before they reach consumers. Within a spec it flags missing operationId, success responses with no schema, untyped parameters, operations with no security requirement, and unbounded arrays/strings. Across two versions it flags removed paths and operations, removed response codes, a parameter becoming required, narrowed parameter types, removed enum values, and removed response fields. Analyzes JSON specs (convert YAML to JSON first).
Audit your frontend build against a performance budget and catch size regressions before you ship. Flags total bundle over budget, initial bundle over budget, individual chunks over a threshold, oversized image assets, source maps shipped to production, and large unminified JavaScript. Reads a webpack or Vite-style stats.json plus a perf-budget.json you control.
by Joker
Product management across 7 product types. RICE prioritization, PRD frameworks, roadmap planning, A/B testing, data-driven decisions.
Generate a personalized before-you-ship checklist for your app, with the things you already have checked off. Pick your app type (web app, SaaS, store, or content) and it builds a tailored list covering security, legal basics (privacy policy, terms, cookie consent), social preview, payments and refunds, accessibility, analytics, and backups, then scans your repo and pre-checks what is already there. Every item says why it matters in plain English.
Run structural QA on your translation files across locales. Flags missing keys, placeholder mismatches ({name}, %s, {{var}}), strings left untranslated and identical to the source, length-overflow risk that breaks UI, terminology drift against a glossary, empty targets, and plural-category gaps. Works on JSON, gettext .po/.pot, and .properties. It checks form, not meaning, so you do not need to speak the target language to use it.
Produces a verification plan that proves a code change actually works — observable "working" definitions, evidence-over-inference checks, evidence trail. Use when the user says "verify this works", "is it actually done", "prove the fix works", "did the fix actually work", or "definition of done for this change". Do not use before the change is written — use structured-impl-planner instead.
by Ifásola
Stop guessing and start proving: Force your AI agent to provide verifiable execution logs for every 'done' claim.
Generate a real test suite for any function, module, or file — meaningful edge cases, error paths, boundary conditions, and proper mocks, not happy-path stubs. Detects your project's framework and conventions, plans the cases deliberately before writing, and hands back runnable tests plus a summary of what's covered. Built to write the tests that actually catch bugs.
Produces a QA/UAT pack (acceptance criteria, UAT scripts, edge-case matrix, regression checklist) for an AI automation, or audits an existing one's test coverage. Use when the user says "write UAT for this automation", "QA this AI workflow", "find test coverage gaps", or "build a regression checklist". Do not use when the deliverable is the agent itself, not its test coverage.