Batch validate, clean, normalize, swap, and convert subtitle files with deterministic processing and failure-safe reports.
A daily AI planner that turns your routine — sleep, work, commute, meals, exercise — into a ranked, explainable "what to do next" list. Self-corrects when you report what you actually did. Nothing saved or reminded without your confirmation first.
Five demands, three people, one Friday deadline. Get a defensible schedule in one pass — who goes first on contested resources, the zero-float critical path, and the honest date when it doesn't fit.
This skill is based on practical Power Platform delivery patterns for safely creating, reviewing, and modifying Power Automate cloud-flow JSON in Dataverse solution exports. It focuses on issues that often break real client automations: runAfter paths, renamed action references, connection references, hardcoded values, TRY/CATCH logging, import safety, validation, and rollback notes.
Check SRT files in batches, get cue-level QA reports, and export conservative repair copies while preserving your originals. Includes explicit time shifts, overlap trimming and two-line track splitting. English edition. Python 3.10+; no API key needed for the local engine.
Fix SRT subtitle timing with precise offset, FPS conversion, and two-anchor drift correction. Deterministic, local, and fail-safe — no AI guessing.
A kickoff protocol (agent skill) for multi-step tasks. Before writing any code, the agent must: run a spec interview, batch every human-authorization step into one checklist, build a self-verification loop (log sink + verify script + dry-run) *before* the feature itself, and build comparable variants instead of blocking on third-party decisions.
Full meeting lifecycle: 3 agenda types, minutes with a worked example, an action-item tracker, sync + async standups, a hygiene checklist, and a guide to cutting meetings with cost math. Action items flow from agenda to minutes to tracker.
Scan AI Skills and MCP servers before installation. Detect risky scripts, permissions, dependencies, network access, credential exposure, file changes, and suspicious configurations — then generate a clear evidence-based security report.