Fast Bug Report Agent Skill
Generate a bug report issue for the FAST repository using the provided template.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/microsoft/fast --skill fast-bug-reportThe instruction itself
as written by the authorThis prompt only applies to generating Bug Report issues for the FAST repository.
Do not create or modify any existing Github issues. This skill is only for
generating the markdown content for a new issue based on the provided template.
Based on the conversation context, generate a bug report as a markdown code
block using the template located at
../../ISSUE_TEMPLATE/bug-report.md.
The summary should clearly state what the bug is and which part of the system
is affected.
Repro or Code Sample should provide clear, minimal steps to reproduce the issue.
Include a code snippet, repository link, or gist if possible.
Expected Behavior should describe what the correct behavior should be.
Current Behavior should explain what actually happens instead. Include the full
error message and stack trace if applicable. Mention screenshots if they would
help illustrate the problem.
Possible Solution is optional. Include it only if there is a concrete idea about
the cause or fix. Mention if the reporter is willing to contribute a fix.
Context should explain how the bug affects the user and what they are trying to
accomplish. This helps prioritize and design the right solution.
Your Environment should capture relevant details: OS, device, browser, and
package version.
Search for existing open or closed issues that overlap with this bug report.
If duplicates or related issues exist, mention them in the Context section.
Suggest a concise issue title in the format fix: [what is the issue?] in [where is the issue?].
Provide the markdown code block only, without any additional commentary or explanation.
Any comments in the template can be removed since they're only meant to provide
guidance on how to fill out the template, and are not intended to be part of the
final issue body.
Other skills for the same job
different authors, same section of the catalogue
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.
Quantum mechanics simulations and analysis using QuTiP (Quantum Toolbox in Python). Use when working with quantum systems including: (1) quantum states (kets, bras, density matrices), (2) quantum operators and gates, (3) time evolution and dynamics (Schrödinger, master equations, Monte Carlo), (4) open quantum systems with dissipation, (5) quantum measurements and entanglement, (6) visualization (Bloch sphere, Wigner functions), (7) steady states and correlation functions, or (8) advanced methods (Floquet theory, HEOM, stochastic solvers). Handles both closed and open quantum systems across various domains including quantum optics, quantum computing, and condensed matter physics.
Retrieve and display GitHub Copilot usage metrics for organizations and enterprises using the GitHub CLI and REST API.
Socratic mentoring for junior developers and AI newcomers. Guides through questions, never answers. Triggers: "help me understand", "explain this code", "I''m stuck", "Im stuck", "I''m confused", "Im confused", "I don''t understand", "I dont understand", "can you teach me", "teach me", "mentor me", "guide me", "what does this error mean", "why doesn''t this work", "why does not this work", "I''m a beginner", "Im a beginner", "I''m learning", "Im learning", "I''m new to this", "Im new to this", "walk me through", "how does this work", "what''s wrong with my code", "what''s wrong", "can you break this down", "ELI5", "step by step", "where do I start", "what am I missing", "newbie here", "junior dev", "first time using", "how do I", "what is", "is this right", "not sure", "need help", "struggling", "show me", "help me debug", "best practice", "too complex", "overwhelmed", "lost", "debug this", "/socratic", "/hint", "/concept", "/pseudocode". Progressive clue systems, teaching techniques, and success metrics.
Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.
High-performance DataFrame library for Python ETL, analytics, and pandas migration. Use for expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.
How to use it
Take microsoft/fast-bug-report from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.