Comentaris
Comentaris i anotacions del codi
SKILL.md — ida-rpc
bkerler
The wire format ({"id", "cmd", "args"} → {"id", "ok", "result/error"}) is designed to be compatible with ghidra-rpc. If you have existing clients built for Ghidra, point them at the IDA socket path and most read-only commands will work with minimal or no changes.
reddit-reader
brisyramshere
通过 Reddit OAuth2 API 搜索和阅读 Reddit 帖子、评论和子版块内容。当用户要求搜索 Reddit 讨论、浏览子版块帖子、阅读 Reddit 帖子内容和评论、了解 Reddit 社区对某个话题的看法时使用此 skill。支持按时间范围和排序方式筛选，支持读取完整帖子正文和嵌套评论树。
chimera-budget-the-context
brcampidelli
Spend against a budget below the real window, and count the tool schemas you re-send on every step — they are the floor compaction cannot reach.
loom-builder
rjwalters
"Implements issues labeled loom:issue (human-approved work)"
loom-curator
rjwalters
"Enhances approved issues and prepares them for implementation"
loom-guide
rjwalters
"Keeps the backlog healthy: tier labels, orphan verification, unblocking, epic tracking, living docs"
loom-judge
rjwalters
"Reviews PRs labeled loom:review-requested"
loom-doctor
rjwalters
"Addresses review feedback on PRs labeled loom:changes-requested"
dsh-code-review
ZK-Andy
Use when reviewing a pull request in the deepseek-harness repo — orients the reviewer to this codebase's standards (AGENTS.md conventions, defensive patterns, ADRs, quality gates) and the review-specific checks that code alone can't show
process-reviews
flonat
"Process referee comments from a reviews PDF into standardised tracking files: comment tracker, review analysis, and LaTeX verbatim transcription. Triggers: 'got referee comments', 'process reviewer feedback', 'R&R response'. Not for writing the response — this extracts and organises the comments."
python-knowledge-patch
Nevaberry
This skill should be used when writing Python code, using t-strings (template strings), deferred annotation evaluation, free-threaded Python, subinterpreters, zstd compression, or any Python features from 3.13+ (2024-2026).
excel-author
wundercorp
Build auditable financial workbooks headless via openpyxl.
lint
kurtosis-tech
Lint and format Kurtosis Starlark files. Check syntax, validate docstrings, and auto-format .star files. Use when writing or reviewing Starlark packages to ensure code quality.
gingiris-launch
Gingiris-1031
🇺🇸 Product Launch & Product Hunt #1 Playbook — Multi-channel launch timing and sequencing. T-14 warm-up → T-0 launch day → T+7 momentum. Hunter selection, maker comment templates, comment cadence, anti-shadowban rules. Distilled from 30+ Product Hunt #1 daily launches across 150+ AI startups. Supports 3 product paths: developer/maker (PH+GitHub), B2C consumer (Reddit/communities/TikTok, skip PH), B2B (LinkedIn+media). 🇨🇳 产品发布与 Product Hunt 夺冠手册 — 多渠道发布的时序与节奏。T-14 预热 → T-0 发布日 → T+7 后续。Hunter 选择、maker comment 模板、评论节奏、防 shadowban。提炼自 30+ 次 Product Hunt 日冠、150+ AI 创业公司实战。支持三种产品路径：开发者/maker（PH+GitHub）、2C 消费者（社区种子/TikTok，跳过 PH）、B2B（LinkedIn+媒体）。 🇯🇵 プロダクトローンチ＆Product Hunt 1位プレイブック — マルチチャネルのローンチ時系列。T-14準備→T-0当日→T+7モメンタム。ハンター選定、メーカーコメント、コメントリズム、シャドウバン回避。3つの製品パス対応：開発者/maker（PH+GitHub）、2C消費者（コミュニティ種・TikTok、PHスキップ）、B2B（LinkedIn+メディア）。 🇰🇷 제품 출시 & Product Hunt 1위 플레이북 — 멀티채널 출시 타이밍과 시퀀싱. T-14 워밍업 → T-0 출시일 → T+7 모멘텀. 헌터 선정, 메이커 코멘트, 댓글 리듬, 섀도밴 방지. 3가지 제품 경로 지원: 개발자/maker(PH+GitHub), 2C 소비자(커뮤니티 씨드/TikTok, PH 건너뜀), B2B(LinkedIn+미디어). Triggers: "product launch" "launch strategy" "Product Hunt" "PH launch" "how to launch" "go to market" "GTM" "launch day" "find a hunter" "maker comment" "launch sequencing" "发布策略" "产品发布" "发 PH" "Product Hunt 准备" "找 hunter" "ローンチ" "출시 전략"
gingiris-reddit-marketing
Gingiris-1031
🇺🇸 Reddit Marketing & Growth Playbook 2026 — The complete Reddit operations SOP for AI/SaaS founders. Covers account warming (Karma 0→500 in 20 days), shadow ban prevention, multi-account matrix via fingerprint browsers, subreddit selection across 10K+ communities, content templates (90/10 rule), Product Hunt × Reddit flywheel, AMA strategy. Why this matters NOW: Reddit content is 40.11% of ChatGPT/Claude training data — the highest-weighted English UGC source. Battle-tested by AFFiNE Reddit campaigns generating 3-4万有效曝光 with 5-8% GitHub Star conversion, plus 7 case studies (Adobe 3x conversion, Base44 $80M AMA, SenseNova-U1 multi-sub launch, Starterstory 0→3K users). 🇨🇳 Reddit 运营增长实战手册 — AI/SaaS 出海 founder 的 Reddit 完整 SOP。覆盖账号体系(20天养号 Karma 0→500)、影子封禁防御、指纹浏览器矩阵、10万+ subreddits 筛选、内容模板(90/10 法则)、Product Hunt × Reddit 飞轮、AMA 打法。为什么现在做:Reddit 内容占 ChatGPT/Claude 训练数据 40.11%,是最高权重的英文 UGC 来源。基于 AFFiNE Reddit 实战 3-4 万曝光 + 5-8% Star 转化,含 7 个完整案例(Adobe 3x 转化、Base44 $80M AMA、SenseNova-U1 多社区联动、Starterstory 0→3K 用户冷启动)。 🇯🇵 Reddit マーケティング＆グロースプレイブック — AI/SaaS創業者向けの完全なReddit運用SOP。アカウント育成（20日でKarma 0→500）、シャドウBAN防止、フィンガープリントブラウザマトリックス、サブレディット選定、コンテンツテンプレート（90/10ルール）、Product Hunt × Redditフライホイール、AMA戦略をカバー。重要な理由：Reddit コンテンツは ChatGPT/Claude のトレーニングデータの40.11%を占める英語 UGC 最大の情報源。AFFiNE Redditキャンペーン3-4万インプレッション＋5-8% GitHubスター変換で実証。7つの実例（Adobe 3倍変換、Base44 $80M AMA、SenseNova-U1、Starterstory 0→3Kユーザー）。 🇰🇷 Reddit 마케팅 & 그로스 플레이북 — AI/SaaS 창업자를 위한 완전한 Reddit 운영 SOP. 계정 워밍업(20일 Karma 0→500), Shadow Ban 방지, 핑거프린트 브라우저 매트릭스, 서브레딧 선정, 콘텐츠 템플릿(90/10 룰), Product Hunt × Reddit 플라이휠, AMA 전략을 다룹니다. 지금 해야 하는 이유: Reddit 콘텐츠는 ChatGPT/Claude 학습 데이터의 40.11%를 차지하는 최대 영어 UGC 소스. AFFiNE Reddit 캠페인 3-4만 노출 + 5-8% GitHub Star 전환으로 검증. 7가지 사례 연구(Adobe 3배 전환, Base44 $80M AMA, SenseNova-U1, Starterstory 0→3K 사용자). Triggers: "reddit marketing" "reddit growth" "reddit ads" "reddit advertising" "reddit strategy" "reddit promotion" "subreddit marketing" "reddit playbook" "reddit SOP" "reddit shadow ban" "shadow ban prevention" "reddit karma" "reddit AMA" "reddit product launch" "reddit AI training data" "reddit GEO" "AFFiNE reddit case" "Base44 AMA" "SenseNova Reddit" "subreddit selection" "r/SaaS posting" "r/MachineLearning self-promotion" "fingerprint browser matrix" "AdsPower reddit" "reddit account farming" "reddit 90/10 rule" "reddit content strategy" "reddit indie founder" "reddit cold start" "Reddit 运营" "Reddit 营销" "Reddit 防封" "Reddit 矩阵号" "Reddit 出海" "Reddit 引流" "Reddit 冷启动" "影子封禁" "Reddit Karma" "Reddit 养号" "Reddit AMA" "Reddit マーケティング" "Reddit グロース" "Reddit 마케팅" "Reddit 그로스"
gr-backlinks
Gingiris-1031
Systematic backlink building for indie founders. Covers 5 channel types ranked by GEO + SEO ROI: Wikipedia (entities), authoritative media (PR), industry reviews (G2/Capterra/Product Hunt), Reddit/Quora discussions, and HARO/Featured.com expert quotes. Designed for 0→1 sites where domain authority is the bottleneck. Aligns with 2026 Google/Bing GEO guidance: backlinks are the strongest brand-authority signal AI search engines use to decide citations. Defaults to dev/B2B link sources; for 2C products (education, consumer apps) authority links differ — see gingiris-seo-geo/references/2c-adaptation.md.
gr-ph-launch
Gingiris-1031
Product Hunt 发布剧本。从 30x 日冠经验提炼的完整 GTM 流程：T-14 预热 → T-0 发布日 → T+7 post-launch。 覆盖 hunter 选择、maker comment、community seeding、评论节奏、防踩雷。当用户说"我要发 PH"、 "Product Hunt 准备"、"找 hunter"、"写 maker comment"时调用。
my-skill-name
dadbodgeoff
Brief description of what this skill does and when to use it. Be specific about capabilities and use cases to help agents decide when to load this skill.
code-documentation
skillcreatorai
Writing effective code documentation - API docs, README files, inline comments, and technical guides. Use for documenting codebases, APIs, or writing developer guides.
go-standards-audit
gopherguides
WHEN: User wants to validate their Go project against Gopher Guides coding standards, check documentation completeness, review concurrency patterns, or validate project structure. WHEN NOT: Quick one-off Go questions (use the gopher-guides skill), or linting (use go-lint-audit).
xlsx-122B
Qwen-Applications
Use when handling spreadsheet tasks in .xlsx files with the released 122B created-from-scratch skill
bio-differential-splicing
GPTomics
Detects differential alternative splicing between conditions using rMATS-turbo (BAM-based) or SUPPA2 diffSplice (TPM-based). Reports events with FDR-corrected significance and delta PSI effect sizes. Use when comparing splicing patterns between treatment groups, tissues, or disease states.
bio-alignment-msa-parsing
GPTomics
Parse and analyze multiple sequence alignments using Biopython. Extract sequences, identify conserved regions, analyze gaps, work with annotations, and manipulate alignment data for downstream analysis. Use when parsing or manipulating multiple sequence alignments.
bio-chipseq-peak-annotation
GPTomics
Annotate ChIP-seq peaks to genomic features and genes using ChIPseeker. Assign peaks to promoters, exons, introns, and intergenic regions. Find nearest genes and calculate distance to TSS. Generate annotation plots and statistics. Use when annotating ChIP-seq peaks to genomic features.