Coding & Dev Tools

kevin-burns Bundle

CV evidence base

kevin-burns Skill

Resize and format images for social media platforms. Use when the user needs to prepare an image for LinkedIn, Bluesky, Reddit, Hacker News, or other social platforms. Triggers on "resize for linkedin", "image for social", "prepare image for posting", "social media image", "resize for bluesky", or any request to optimize an image for a specific social platform.

kevin-burns Bundle

Create Excalidraw diagram JSON files that make visual arguments. Use when the user wants to visualize workflows, architectures, or concepts.

bobmatnyc Skill

Interactive idea refinement using Socratic method to develop fully-formed designs

bobmatnyc Bundle

Compare tradeoffs and recommend architectural patterns — dependency injection, service-oriented architecture, repository, domain events, circuit breaker, and anti-corruption layer. Use when choosing between design patterns, planning microservices boundaries, evaluating system design alternatives, or asking 'which pattern should I use' for a specific coupling or resilience problem.

bobmatnyc Bundle

Safe patterns for evolving database schemas in production with decision trees and troubleshooting guidance.

bobmatnyc Skill

Working effectively with JSON data structures.

bobmatnyc Bundle

Optimize web performance using Core Web Vitals, modern patterns (View Transitions, Speculation Rules), and framework-specific techniques

drunkcoding Bundle

Performs fast text search with one-shot patterns that minimize iterations by getting files, lines, and context in a single call. Use this skill to replace grep when searching for text patterns, finding specific code locations, or getting context around matches

drunkcoding Bundle

Interactive quiz tutor for a Triton StudyVault built by `triton-tutor-setup`. Delivers 4-question rounds with concept-level proficiency tracking (🟥/🟨/🟩/🟦/⬜) across 6 Triton topics: Triton basics (`@triton.jit`, masks, `tl.load`/`tl.store`), tiling & autotuning (`triton.autotune`, `num_warps`/`num_stages`), matmul patterns (tiled GEMM, pid swizzling, persistent, split-K, FP8 `tl.dot`), attention & reductions (FlashAttention, online softmax, `tl.associative_scan`), compiler internals (TTIR/TTGIR/LLIR, NVIDIA/AMD backends, WGMMA + TMA lowering), and ecosystem/production (`torch.compile`/Inductor, AOT, `proton`). Use when the user wants to take a diagnostic Triton assessment, drill weak Triton concepts, study a specific Triton topic, review the learning dashboard, or says things like "quiz me on Triton", "drill FlashAttention", "/triton-tutor", "퀴즈".

drunkcoding Bundle

Review systems conference papers for OSDI, NSDI, SIGCOMM, MOBICOM, SOSP, and FAST. Produces structured HotCRP-style reviews with paper summary, strengths, weaknesses, detailed comments, questions for authors, and overall merit/confidence scoring. Covers evaluation criteria (novelty, soundness, significance, evaluation quality, clarity, relevance, reproducibility), venue-specific expectations, common paper weaknesses, constructive feedback tone, one-shot revision reviews, and reviewer ethics. Use when asked to review, critique, or provide feedback on a systems conference paper submission.

drunkcoding Bundle

Generate an Obsidian-format Triton StudyVault for learning OpenAI Triton's GPU programming stack. Three modes: (1) Curriculum mode (default, no source files needed) builds a prereq-ordered vault around 6 topics: Triton basics, tiling & autotuning, matmul patterns (tiled GEMM, split-K, FP8 `tl.dot`), attention & reductions (FlashAttention), compiler internals (TTIR/TTGIR/LLIR, NVIDIA/AMD backends, WGMMA + TMA lowering), and ecosystem/production (`torch.compile`/Inductor, AOT, `proton`); (2) Codebase mode generates an onboarding vault from a real Triton/Inductor source tree; (3) Document mode turns Triton docs, blog posts, and tutorial PDFs into study notes. Mode is auto-detected from CWD markers. Use when the user wants to learn Triton from scratch, onboard onto a Triton codebase, build a Triton exercise list, or preprocess Triton PDFs/docs into study material. Pair with the `triton-tutor` skill to quiz against the resulting vault.

drunkcoding Bundle

AST-accurate function dependency analysis using Tree-sitter. Use when tracing function call chains, finding callers/callees, analyzing blast radius of changes, detecting unused functions, or finding circular dependencies. Replaces grep-based code exploration with precise, structural matching. Supports Python, JavaScript, TypeScript, Go, Rust, C, C++, Java. Triggers on questions like "what calls X?", "what does X call?", "find unused functions", "show me the call graph", "what's the impact of changing X?", or any function dependency/relationship query.

shashank-yadav Bundle

Strategies for solving MBPP Python programming problems.

shashank-yadav Skill

Turn corrections and confirmed successes from THIS conversation into a portable SKILL.md, so the same mistakes aren't repeated in future conversations. Use this when the user says something like "remember this", "don't make that mistake again", "learn from this", or asks you to create or update a skill from how this conversation went.

shashank-yadav Bundle

Strategies for solving MBPP Python programming problems.

shashank-yadav Bundle

Strategies for producing high-quality writing across genres (letters, reviews, tutorials, ad copy, essays, and more).

shashank-yadav Bundle

Strategies for completing interactive household tasks in ALFWorld.

shashank-yadav Bundle

Strategies for answering SearchQA trivia questions.

shashank-yadav Bundle

Strategies for solving MBPP Python programming problems.

shashank-yadav Bundle

Strategies for producing high-quality writing across genres (letters, reviews, tutorials, ad copy, essays, and more).

shashank-yadav Bundle

Strategies for completing interactive household tasks in ALFWorld.

shashank-yadav Bundle

Strategies for answering SearchQA trivia questions.

shashank-yadav Bundle

Strategies for solving BigCodeBench Python programming problems.

shashank-yadav Bundle

Strategies for answering LiveMathematicianBench multiple-choice theorem questions.

shashank-yadav Bundle

Strategies for producing high-quality writing across genres (letters, reviews, tutorials, ad copy, essays, and more).

shashank-yadav Bundle

Strategies for completing interactive household tasks in ALFWorld.

shashank-yadav Bundle

Strategies for answering SearchQA trivia questions.

shashank-yadav Bundle

Strategies for solving BigCodeBench Python programming problems.

shashank-yadav Bundle

Strategies for answering LiveMathematicianBench multiple-choice theorem questions.

shashank-yadav Bundle

Strategies for writing useful, accurate code review comments on a diff.

shashank-yadav Bundle

Strategies for solving BigCodeBench Python programming problems.

shashank-yadav Bundle

Strategies for answering LiveMathematicianBench multiple-choice theorem questions.

shashank-yadav Bundle

Strategies for writing responses that read as genuinely human-written, not AI-generated.

24601 Bundle

Fast headless browser for QA testing and site dogfooding. Navigate pages, interact with elements, verify state, diff before/after, take annotated screenshots, test responsive layouts, forms, uploads, dialogs, and capture bug evidence. Use when asked to open or test a site, verify a deployment, dogfood a user flow, or file a bug with screenshots. (gstack)

24601 Bundle

OpenAI Codex CLI wrapper — three modes. Code review: independent diff review via codex review with pass/fail gate. Challenge: adversarial mode that tries to break your code. Consult: ask codex anything with session continuity for follow-ups. The "200 IQ autistic developer" second opinion. Use when asked to "codex review", "codex challenge", "ask codex", "second opinion", or "consult codex". (gstack)