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Srednoff WCAG 2.2 Accessibility Fix Sprint
Plan WCAG 2.2 remediation with reproduced barriers, keyboard checks and issue-level validation.
$7.99
About this skill
WCAG 2.2 Accessibility Fix Sprint
Plan WCAG 2.2 remediation with reproduced barriers, keyboard checks and issue-level validation.
Automated scans produce a backlog without reliable user impact, criterion mapping, complete-process coverage, or proof that the fix works with keyboard and assistive technology.
Who This Is For
Engineering managers and accessibility owners who must turn observed user barriers into a bounded remediation sprint and verifiable regression evidence.
What You Get
- A standalone, domain-specific agent workflow with decision rules and stop conditions.
- Evidence requirements, structured report guidance and missing-data handling.
- Synthetic worked examples and supporting reference material.
- Optional offline evidence-precheck source where the licensed delivery allows execution; not an automatic artifact scanner.
Expected Deliverables
- evaluation_scope: pages/processes, revision, WCAG target, browser/AT matrix, exclusions, and authorization boundaries
- issue_register: criterion, severity, confidence, affected task, reproduction, expected/actual, evidence, owner, and disposition
- remediation_plan: semantic fix, files/components, dependencies, regression risk, implementation status, and rollback
- contrast_ledger: pair, rendered context, text classification, method, result, exceptions, and unresolved states
- retest_matrix: original barrier, keyboard/AT/zoom/state coverage, evidence, FIXED/OPEN/IMPLEMENTED_UNVERIFIED/NOT_TESTED
- buyer_summary: resolved task barriers, remaining exclusions, next validation actions, and explicit non-certification statement
How The Workflow Proceeds
- Bind the sprint to explicit pages, complete processes, revision, target level, and test environments; identify inaccessible third-party steps and ownership gaps.
- Normalize scan candidates into a deduplicated issue register, then reproduce each candidate rather than accepting the tool's criterion mapping uncritically.
- Walk critical processes with keyboard, checking focus order, visible and unobscured focus, modal entry/exit, error recovery, and keyboard alternatives to pointer actions.
- Test the agreed assistive-technology combinations for names, roles, state announcements, labels, live updates, and authentication; record unavailable combinations as untested.
The remaining workflow covers validation, failure recovery and an evidence-linked handoff.
Bring These Inputs
- Approved pages and complete user processes, candidate revision, repository or runnable build, and allowed edit scope.
- Target WCAG version/level, supported browser and assistive-technology matrix, and owner for interpreting scope and exceptions.
- Known barriers or scan exports with tool version, configuration, timestamp, and affected elements.
- Safe test accounts, representative content, and permission boundaries for forms, authentication, and other external actions.
Scope And Compatibility
This is a workflow toolkit used by your connected AI agent, not a hosted service, installed API client, autonomous executor or security/compliance certification. You supply the model, authorized tools and project evidence. It does not provide access to advertising, analytics, billing or production accounts. No business outcome or token saving is guaranteed.
Agensi delivery is agent-only. Do not save or export the proprietary source. If local helper execution is unavailable, the agent follows the review workflow and marks the helper NOT_EXECUTED; no local-script execution is promised for this channel.
Validation Transparency
Packaged offline supplied-evidence checks: PASS. Retained synthetic text-response cases: 8/8; scope PASS_SCOPED. These tests are not real-client task trials or marketplace-runtime certification.
Commercial Use And Support
Use project-specific outputs in personal, business and client work under the included Commercial License 1.0. Historical MIT and third-party rights remain unchanged; mandatory marketplace terms prevail. No proprietary source redistribution is included. Publisher: Ivan Srednoff / Srednoff.Agency.
FAQ
Will it make changes automatically? No. Analysis does not authorize spending, publication, deployment or account mutations.
Are examples client results? No. Examples are explicitly synthetic DEMO DATA.
Does it require Srednoff OS? No. The workflow is standalone; external tools and subscriptions are not included.
Is the launch price a proven optimum? No. It is a scoped introductory price informed by comparable offers, not sales forecasts or fake discounts.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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