jellydn
- 34 skills
- 0 followers
- 8 hours ago last updated
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- ▌ Adr · jellydn bundleRecord architecture decisions with ADRs — captures why, alternatives considered, and consequences
- ▌ Prd · jellydnGenerate Product Requirements Documents from feature ideas — plans specs and requirements
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- ▌ Codemap · jellydn bundleMap codebase structure with parallel analysis — produces 7 documents about architecture, concerns, and conventions
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- ▌ LLM Wiki · jellydn bundleBuild a persistent compounding wiki from raw sources using the LLM Wiki pattern
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- ▌ Doc Search · jellydnSearch project documentation — ADRs, wiki entries, conventions via ripgrep, qmd, fff, and ctx
- ▌ Code Review · jellydnReview the diff since a fixed point along two axes — Conventions (does the code follow this repo's coding standards and Tidy First practices?) and Intent (does the change do what it claims to do?). Runs both reviews in parallel sub-agents and reports them side by side. Use when you want to review a branch, a PR, work-in-progress changes, or ask to "review since X".
- ▌ Docs Update · jellydnUpdate docs when code changes — reviews commits and syncs user-facing documentation
- ▌ Git Context · jellydnSearch git history for context — commit messages, blame, related changes, impact analysis
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- ▌ Qmd Knowledge · jellydn bundleManage project knowledge with qmd — captures learnings, decisions, and conventions
- ▌ Blindspot Pass · jellydnFind unknown unknowns before starting implementation — searches git history, patterns, and architecture for hidden gotchas
- ▌ Portless Local · jellydnReplace port numbers with stable named .localhost URLs for local development
- ▌ Security Audit · jellydn bundleUse when reviewing code for security vulnerabilities, hardening an application, or deriving security requirements from OWASP/ASVS guidance.
- ▌ Spec Interview · jellydnClarify requirements through targeted questions — uncovers unknown unknowns in specs
- ▌ Context Discovery · jellydnDiscover context using MCP tools — fff, sem, ctx, qmd, codebase-memory-mcp for codebase understanding
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- ▌ Code Quality Review · jellydnRun an extremely strict maintainability and structural code quality review — flags abstraction issues, spaghetti growth, and boundary leaks
- ▌ Orchestrating Fusion · jellydnCoordinates a strong read-only lead with a cheaper implementation executor. Use for non-trivial coding tasks that benefit from separate planning, execution, and independent verification.
- ▌ Implementation Logger · jellydnLog implementation decisions — tracks deviations from plan and captures rationale
- ▌ Capability Experiments · jellydnExperiment with model capabilities — HTML reports, embedded questionnaires, proactive research, multi-step reasoning
- ▌ Plannotator Setup Goal · jellydnTurn ideas into executable goal packages with guided interviews and codebase analysis
- ▌ Accountable Engineering · jellydnGuides disciplined AI-assisted engineering that avoids cognitive surrender and keeps humans accountable. Use for non-trivial implementation, architecture, security, or operational tasks.
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