Search the live web, registries and primary sources at decision time and report what exists outside. Use when choosing a library or tool, looking for a prior implementation, checking whether a paper or post applies here, reading what an official spec does now, surveying current practice, or checking a claim against…
Write AI-facing documents (llms.txt, llms-full.txt, FAQ pages, glossaries) to the llms.txt standard. Use when a document's only reader is an AI system.
Strict Architecture Decision Record reviewer. Reviews ADRs for section completeness, context-decision alignment, straw-man alternatives, one-sided consequences, unsourced numeric claims, and unstated override relationships with prior ADRs. Use PROACTIVELY after writing or substantially revising an ADR, before commit.…
Context-starved prompt forager for diversity injection. Receives ONE line (a purpose) and deliberately nothing else, then searches external creativity-technique catalogs and prompt collections for 3-5 prompts from angles the requesting session would not produce itself. Dispatched by the prompt-perturb skill — not for…
Expert Swift / SwiftUI code reviewer specializing in Swift 6 strict concurrency, value semantics, SwiftUI state management, memory management (retain cycles), and HIG compliance. Use for all Swift code changes in iOS / macOS projects.
A workflow for recording an approved architecture decision as a numbered document in a project’s docs/adr folder. An ADR, or Architecture Decision Record, explains a decision, rejected alternatives, and consequences.
A strategy framework for makers who want their work to be recognizable, traceable, and citable in the age of AI. It treats tools such as papers, DOIs, and software identifiers as ways to preserve and spread authorship.
A research-material collection tool for gathering context from the current session, related past sessions, and project knowledge before writing an article. It creates a source-linked evidence record.
Audit a repo's context documents (CLAUDE.md, ADRs, README, graph.jsonld) for role overlap and staleness against the code, and fix them; README findings are only flagged. Use when the docs may have drifted from the code or duplicate each other. For README content, use readme-writer.
A one-way synchronisation process for exporting selected parts of a local AI harness to public Git repositories. It removes runtime files, checks metadata, scans for secrets, and copies approved components.
A headline-idea generator for article titles, README taglines, subtitles, and social announcements. It creates candidates using clarity, concrete benefits, honest curiosity, and search or feed considerations.
Mirror a research repo's graph.jsonld to its Hugging Face dataset as graph.jsonl. Use after the GitHub release step of release-doi, or to resync the dataset.
A planning guide that classifies implementation work as a feature, bug fix, refactor, chore, prototype, or writing task, then chooses a matching sequence of planning, testing, review, documentation, and verification steps.
Design and ship a JSON-LD knowledge graph (graph.jsonld) beside llms.txt that encodes a project's entities and relations as schema.org triples. Use when a project has a matrix, hierarchy or phase structure that prose leaves implicit and that stays stable across releases.
A workflow for extracting reusable lessons from the current coding session and deciding where they should be saved. It can place a lesson in an existing skill, rule, or document, or promote it to a new skill.
Write AI-facing documents (llms.txt, llms-full.txt, FAQ pages, glossaries) to the llms.txt standard. Use when a document's only reader is an AI system.
A set of rules for making and reviewing claims based on measurements, thresholds, warnings, and experiment results. It focuses on what was observed, how much evidence exists, and whether a check is properly calibrated.
A Japanese-to-English and English-to-Japanese translation tool for human-readable writing such as essays, research documents, READMEs, and architecture decision records.
★not rated 3
changed 7d agoA48 tokens
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: