Claude Skills by Dadmin88

Produce stakeholder status updates from current evidence, commitments, milestones, risks, decisions, and requested actions without turning the update into an activity diary.

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Plan a public announcement around objective, audiences, news value, message, proof, spokesperson, timing, assets, media and owned channels, coordination, and post-announcement response.

Coordinate crisis communications around verified facts, affected audiences, decision authority, empathy, uncertainty, operational response, update cadence, corrections, and durable source of truth without speculating beyond evidence.

Prepare a factual media brief with message, evidence, spokesperson guidance, likely questions, sensitivities, and response boundaries.

Create a concise media pitch from a genuinely newsworthy angle, audience relevance, credible evidence, spokesperson or source access, timing, and journalist-specific context without disguising marketing copy as reporting.

Prepare spokesperson media Q&A from verified facts, message priorities, difficult questions, evidence, uncertainty, disclosure boundaries, bridging, and correction behavior without scripting evasive non-answers.

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Implement browser and API automation that validates user-observable behavior without coupling tests to incidental implementation details.

Optimize automated test execution for feedback speed and signal quality using sharding, caching, selective execution, quarantine discipline, and artifact retention.

Diagnose and eliminate flaky automated tests by classifying nondeterminism across timing, shared state, environment, ordering, network, resources, and assertions.

Build deterministic fixtures and test data with explicit lifecycle, ownership, isolation, and cleanup across parallel test execution.

Design an automated test harness with stable boundaries, fixtures, observability, and failure diagnostics appropriate to the product architecture.

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Triage defects by establishing reproducibility, user/system impact, severity, scope, regression status, ownership, duplicates, release relevance, and the evidence needed for a decision without turning priority into guesswork.

Define and interpret quality metrics that connect defects, test evidence, release outcomes, escapes, reliability, support, and recovery to decisions without rewarding vanity test counts or gaming.

Define the quality evidence required for a release by mapping changed behavior, critical journeys, risks, environments, test ownership, entry/exit criteria, known gaps, and post-release validation.

Prioritize testing by identifying plausible failures, affected users/assets, likelihood, impact, detectability, change novelty, and existing controls, then spend validation effort where it buys the most confidence.

Design a risk-based test strategy that maps product and technical risks to appropriate validation layers and release evidence.

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Turn a reported defect into a reliable, minimal, evidence-backed reproduction with exact environment, preconditions, steps, frequency, expected behavior, actual behavior, and scope clues.

Validate a critical user or system journey end to end across real application boundaries, state changes, integrations, side effects, recovery behavior, and observable final outcomes.

Execute a focused exploratory test session that probes real user behavior, edge cases, state transitions, and unexpected interactions.

Plan and execute risk-based regression testing around a change by mapping affected behavior, preserved critical flows, integrations, data states, environments, and prior defect history.

Design high-value test cases from requirements, risks, state transitions, input partitions, boundaries, permissions, decisions, failures, and realistic user workflows.

Perform authorized defensive testing of misuse and abuse scenarios by turning attacker or malicious-user goals into bounded hypotheses, evidence, impact, and remediation without exceeding the approved test scope.

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Conduct an authorized adversarial assessment to identify exploitable assumptions, abuse paths, privilege escalation, and control failures.

Map and prioritize a system's externally and internally reachable attack surface across identities, interfaces, data inputs, files, network paths, dependencies, automation, admin functions, agents/tools, and lifecycle operations for authorized defensive review.

Perform authorized defensive tests of identity, role, tenant, resource-ownership, service, node, and administrative privilege boundaries using bounded negative cases and clear evidence of allowed versus denied behavior.

Conduct authorized defensive testing of AI instruction-boundary failures using controlled untrusted content, tool/retrieval scenarios, and trace evidence to verify that external data cannot silently override higher-priority intent or expand authority.

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Control consequential release changes by making scope, revision, evidence, approvals, timing, exceptions, and post-approval drift explicit without turning every small change into bureaucracy.

Validate a release after deployment using revision-specific health, critical user flows, data integrity, migrations, observability, error budgets, and rollback criteria before declaring it complete.

Build and execute a release checklist from the actual release surface, required evidence, owners, dependencies, approvals, rollout steps, and recovery conditions rather than a generic template.

Assess whether a release is ready to ship using evidence from scope, testing, security, operations, documentation, rollback, and stakeholder approvals.

Design a release rollback or forward-recovery plan from failure modes, state changes, data compatibility, trigger conditions, authority, execution steps, and validation evidence.

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Segment release-note information by the readers whose actions or workflows differ, such as end users, administrators, developers, operators, or integrators, without duplicating the entire release for each audience.

Document a breaking or behaviorally incompatible release change with affected users, old and new behavior, required migration, deadlines, mixed-version implications, recovery, and exact references.

Curate repository and product changes into a user-meaningful changelog by selecting externally relevant behavior, grouping related changes, verifying versions and scope, and excluding internal noise.

Turn verified shipped changes into concise release notes organized around user impact, upgrade implications, fixes, and compatibility concerns.

Summarize an upgrade for existing users through benefits, changed behavior, prerequisites, compatibility, migration effort, validation, rollback or recovery, and post-upgrade differences.

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Turn requirements into precise, observable acceptance criteria covering success, failure, permissions, boundaries, states, and constraints without dictating unnecessary implementation details.

Review requirements for undefined actors, terms, states, timing, ownership, limits, conflicts, assumptions, and hidden implementation choices before ambiguity turns into divergent work.

Identify and classify requirement edge cases across boundaries, invalid or missing input, permissions, concurrency, timing, partial failure, state transitions, limits, recovery, and unusual but plausible user behavior.

Convert approved product and business intent into precise functional, non-functional, interface, data, and acceptance requirements.

Maintain requirement-level traceability from source need through decisions, product behavior, acceptance evidence, implementation references, and change history so scope and validation remain auditable.

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