Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.
Autonomous build skill that turns a rough request into working software through a relentless requirements interview (grill), a persistent plan, and a Ralph-style build loop (analyze → implement → validate → review → record). Use when the user runs /wgm, or asks to build, implement, prototype, or ship a feature or app…
Companion review skill that stress-tests a request, spec, plan, diff, or system against the operators and environment that will actually run it, not an idealized one. Runs a disciplined lifecycle (Triage -> Context -> Bottleneck decomposition -> Simplify -> Field test -> Verdict) and emits exactly one of three…
Companion learning skill that makes a codebase legible fast. Surveys a repository, builds a cited map, runs a guided tour in dependency order, and finishes with a validated first change so the learner has actually moved the code. Use when the user runs /teach-me, or asks to learn, understand, onboard onto, get up to…
An optional adversarial review process for requirement analyses. One agent produces the analysis, while an independent reviewer checks its report, database definitions, alignment records, and requirements for missed issues.
A process for analyzing product requirements and turning them into clear technical artifacts such as state machines, sequence diagrams, decision tables, and database definitions. It resolves uncertainty through code evidence, recorded inferences, or explicit human decisions.
Use when starting any conversation in a project that has the intent-gate MCP - establishes requirement intent-alignment discipline (never guess on ambiguity), where the analysis playbook lives, and the two optional add-ons (red-blue adversarial review skill, intent-gate-service sister service for DingTalk group…
Run one complete agent-native OpenPlanr operating cycle in Codex, from project research through CEO/CTO/CPO/CMO/COO/Chair synthesis and provisional drafts, stopping at review.
Pre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation logs, extracts insights and numeric results, and formats them as PaperOrchestra-ready inputs (idea.md + experimentallog.md). TRIGGER when the user says…
Step 5 of the PaperOrchestra pipeline (arXiv:2604.05018). Iteratively refine drafts/paper.tex by simulating peer review and applying targeted revisions, with strict accept/revert halt rules. Maintains a worklog and snapshots each iteration so revert is real, not symbolic. TRIGGER when the orchestrator delegates Step 5…
Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the literature search strategy from outline.json — discover candidate papers via web search, verify them through Semantic Scholar (Levenshtein > 70 fuzzy title match, temporal cutoff, dedup by paperId), build a BibTeX file, and draft Introduction +…
Build or edit Figma designs and components using the ( ) design system. Load alongside figma-use whenever a task targets / / products — reusing the published Variables, UI Kit, and Icons libraries (semantic tokens, text styles, effect/elevation styles, components) instead of hardcoding colors, spacing, type, or…
A code-generation skill for creating Drogon controllers, which are C++ components that receive and handle web requests. It can create header and source files for HTTP, REST-style, simple HTTP, and WebSocket controllers.
A code-generation skill for registering Drogon advice, which is Drogon's way to run logic at selected points in request, connection, and session handling. It supports observing an event or intercepting it.
A CMakeLists.txt generator for Drogon, a C++ web framework. It creates build configuration for options such as database access, Redis, WebSockets, C++20, and coroutines.
Surface and translate the technical assumptions Claude is silently making, so a non-technical developer can correct them in plain language. Invoke as /quill:assumptions [note].
Produce a mosaic response to a multi-aspect task — two heads, not one. Decomposes the task into voice-assigned slices, runs them in parallel with independent priors preserved, cross-reviews without homogenizing voice. Invoke as /quill:mosaic .
1 3mo agoA60 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: