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Found 2,889 Skills
Proofread and improve English text written by the user before answering their actual question. Use this skill whenever the user's message contains English sentences or paragraphs — even mixed with Korean — and a substantive answer is expected. Trigger on any message where English prose is present: questions, requests, opinions, descriptions, or explanations written (fully or partly) in English. Do NOT skip proofreading just because the English looks mostly correct; always run the correction block first. Skip only for: single English words, proper nouns, code snippets, or messages written entirely in Korean with no English prose.
Craft elegant technical specifications with ASCII artistry, flow diagrams, and the Grove voice. The swan glides with purpose—vision first, then form, then perfection. Use when creating specs, reviewing documents, or transforming technical plans into storybook entries.
Generate and critically evaluate grounded improvement ideas for the current project. Use when asking what to improve, requesting idea generation, exploring surprising improvements, or wanting the AI to proactively suggest strong project directions before brainstorming one in depth. Triggers on phrases like 'what should I improve', 'give me ideas', 'ideate on this project', 'surprise me with improvements', 'what would you change', or any request for AI-generated project improvement suggestions rather than refining the user's own idea.
Interactive skill for eliciting, formalizing, and persisting DynamoDB access patterns. Use when the user wants to start designing a DynamoDB table, define entities, or document how their application will read and write data. This is Step 1 of a 3-step pipeline: access patterns -> table design -> query interfaces. The output is a structured .md file that feeds into the dynamodb-table-design skill.
Refresh stale or drifting learnings and pattern docs in docs/solutions/ by reviewing, updating, replacing, or archiving them against the current codebase. Use after refactors, migrations, dependency upgrades, or when a retrieved learning feels outdated or wrong. Also use when reviewing docs/solutions/ for accuracy, when a recently solved problem contradicts an existing learning, or when pattern docs no longer reflect current code.
Execute the implementation planning workflow and generate design artifacts using the plan template. Trigger phrase: "speckit plan".
Initialize a .spec-driven/ directory in a project. Creates config.yaml and specs/ scaffold, then guides the user to fill in project context.
Converts unstructured field notes, text messages, voice-to-text transcripts, or informal subcontractor updates into a properly formatted Solar EPC construction daily report. Use this skill whenever a user provides raw field notes, a dump of information from a site superintendent, a forwarded text thread, or any informal description of a day's construction activity and needs it turned into a structured daily log. Trigger for phrases like "format this into a daily report", "turn this into a daily log", "my super sent me this", "here's what happened on site today", "write up today's progress", or when a user pastes a block of unstructured text that describes construction activity. Also trigger when a user asks how to document a weather delay, crew idle time, or a site condition that affected production. Every unrecorded day of construction is an unprotected schedule claim.
Use when starting any feature, project, or design work. Guides collaborative design refinement through incremental questioning before any code is written.
Onboard a new repository or a repository with scattered documents into the CodeStable system. Two paths are automatically determined: the empty repository path (no spec-type documents or codestable/ directory in the repository) builds the skeleton from scratch; the migration path (the repository already has scattered documents or partial codestable/ structure) first generates an audit report + migration mapping plan, which is finalized after user confirmation one by one. This skill only does two things: "build the skeleton" and "organize existing documents". Once the skeleton is built, all sub-workflows can run directly. Trigger scenarios: Users say "Use CodeStable in this project", "Build CodeStable structure", "Initialize CodeStable", "Migrate to CodeStable".
Create a new Architecture Decision Record with sequential numbering and AgentDB registration
Write, fix, and standardize Python docstrings in Google style. Use whenever the user asks to add or improve docstrings, convert mixed docstrings to Google format, add missing Args/Returns/Raises/Attributes/Example sections, or make docstrings concise and API-focused.