9K skills · sorted by relevance
Implement and debug astronomical data analysis with Astropy in Python. Work with physical units, celestial coordinates, observation files, tables, precise time conversions, and cosmological models to prepare data and calculate astronomical quantities.
List Git commits linked to agent work sessions, with branch or repository filters. See each commit’s message, date, linked sessions, and observation counts to review recorded changes alongside their session context.
Audits arithmetic code for mixed units, decimal precision mistakes, and scaling errors. Adds comments identifying each value’s units and produces a summary of findings, unit definitions, and files reviewed.
Check whether a raise, more hours, or a new job could cost you more in lost benefits than you gain — the 'benefits cliff' — before you accept it. Use when asked will a raise hurt my benefits, benefits cliff, if I make more will I lose my food stamps or medicaid, or should I take more hours. Produces a plain map of which benefits phase out at what income (and which cut off suddenly vs. taper), a rough read on whether a specific income change helps or hurts net, the ones with hard cliffs to watch (childcare, Medicaid, housing), the moves that soften a cliff, and where to get a real benefits screening. Not financial/benefits advice; points to a benefits counselor.
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Use Python to analyze astronomical data, convert celestial coordinates, units, and times, and read or write FITS astronomy files. It also guides catalog matching and calculations of cosmic distances and ages using cosmological models.
Build workflows that generate changelogs and release notes from commits, pull requests, and releases. Use Keep a Changelog formatting, standardize commit messages with Conventional Commits, and manage version numbers through Semantic Versioning rules.
Plan commits around complete features, fixes, or documentation changes, keeping related tests and docs together. Split larger work into reviewable units with recorded verification results and clear boundaries for rolling back changes.
Turn Git changes into a clear commit message using Conventional Commits, a format that labels the change type and optional scope. Review repository history to match its conventions, and flag unrelated changes that should be split.
Create short commit messages using Conventional Commits, a format that labels the type of change. Emphasize intent, keep the subject concise, and include explanatory text when breaking changes, security fixes, data migrations, or reversions require context.
Check physical units, propagate measurement uncertainty through calculations, and format results with meaningful precision. Local tools also inspect Python code for unit and uncertainty mistakes and assess whether calculated magnitudes are physically plausible.
Route Git tasks to a dedicated agent to organize commits, branches, and project history. It supports focused commits, repository commit style detection, and interactive rebasing, which lets you reorganize existing commits.
Query Codex banked reset credits from the local Codex Desktop login state and report available reset count plus expiration times. Use when the user asks to check Codex reset credits, reset opportunities, reset chances, reset count, rate-limit reset credits, or expiration times; also use when the user provides a codex-reset-credits-skill or codex-reset-credits runbook link and asks Codex to query the result directly.
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Locate CBaseEntity_EmitSoundFilter_SoundName in CS2 server.dll / libserver.so via IDA Pro MCP and emit a fresh, minimal-unique signature or offset for the local gamedata entry "CBaseEntity_EmitSoundFilter_SoundName" (symbol CBaseEntity_EmitSoundFilter_SoundName). The gamedata consumer stores a BYTE SIGNATURE for this entry - ALWAYS emit the func schema (func_sig), never vfunc fields. The function may be virtual; locating it via the owning class vtable (RTTI) is a fine strategy, but once found, read its head bytes and emit func_sig. Locate via cross-references, distinctive constants/strings, callers of related symbols, or vtable slots; verify by decompilation before committing. Trigger: CBaseEntity_EmitSoundFilter_SoundName, CBaseEntity_EmitSoundFilter_SoundName
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Review how easy code is to maintain using CodeScene MCP. Compare structural health scores before and after edits, identify design issues, and check commits and pull requests for changes that reduce maintainability.
Check actual OpenRouter charges, API key limits, daily, weekly, and monthly spending, and account credits. Look up a single request by generation ID and report the billed model and provider returned by OpenRouter.
Build and optimize quantum circuits with PennyLane, including models that combine quantum circuits with PyTorch or JAX. Explore molecular energy estimation and optimization problems, validate values and gradients in simulation, and prepare tested circuits for provider plugins.
Build and simulate quantum circuits in Python with Cirq. Compare noise effects, test parameter values, transform circuits for hardware constraints, and prepare experiments for Google Quantum AI or supported providers when the required access is available.
Analyze Git changes, group related files for staging, and create commits using Conventional Commits, a structured message format. Infer the change type and scope from the diff, with optional user overrides for the type, scope, and description.
Generate commit messages from git diffs, staged changes, or written descriptions. Explain the reason and problem behind each change using Conventional Commits, a structured message format, and suggest separate messages for unrelated changes.
Review Git changes and prepare consistent commit messages using Conventional Commits, a format that labels each change by type and scope. The workflow includes message validation, optional explanatory details, and committing changes through Copilot.
Reduce GPU memory use by loading language models in 8-bit or 4-bit formats with bitsandbytes and HuggingFace Transformers. Includes configuration examples, QLoRA fine-tuning of compressed models, and optimizers that reduce memory needed during training.
Write Git commit messages that preserve why changes were made. The skill keeps Conventional Commits subject lines and adds structured body entries for user intent, decisions, rejected alternatives, constraints, and lessons supported by the session context.
Turn Git history into release notes and recommend the next version based on commit types and breaking changes. Check commit formatting, filter changes by package, and generate Markdown or JSON for automated release workflows.
Review an executed business decision against its original success and stopping criteria. Compare actual results, revisit assumptions and dissenting views, and create a retrospective record with lessons and follow-up actions.