jellydn/my-ai-tools

1

pickup Resume work from previous handoff sessions stored in .planning/handoffs/

jellydn/my-ai-tools

71

2

codemap Map codebase structure with parallel analysis — produces 7 documents about architecture, concerns, and conventions

jellydn/my-ai-tools

56

3

qmd-knowledge Manage project knowledge with qmd — captures learnings, decisions, and conventions

jellydn/my-ai-tools

56

4

adr Record architecture decisions with ADRs — captures why, alternatives considered, and consequences

jellydn/my-ai-tools

50

5

pr-review Fix PR review comments by implementing requested changes

jellydn/my-ai-tools

49

6

handoffs Create handoff plans for continuing work across sessions

jellydn/my-ai-tools

47

7

prd Generate Product Requirements Documents from feature ideas — plans specs and requirements

jellydn/my-ai-tools

45

8

slop Remove AI-generated code slop from git diffs to maintain code quality

jellydn/my-ai-tools

44

9

tdd Guide through the Red-Green-Refactor cycle for test-driven development

jellydn/my-ai-tools

44

10

ralph Convert PRDs to prd.json format for the Ralph autonomous agent system

jellydn/my-ai-tools

39

11

plannotator-review Open interactive code review for current changes using Plannotator UI

jellydn/my-ai-tools

22

12

tmux Control tmux sessions remotely — send commands, capture output, manage panes

jellydn/my-ai-tools

14

13

portless-local Replace port numbers with stable named .localhost URLs for local development

jellydn/my-ai-tools

12

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commit-atomic Group staged changes into atomic commits with commitizen convention

jellydn/my-ai-tools

11

15

plannotator-setup-goal Turn ideas into executable goal packages with guided interviews and codebase analysis

jellydn/my-ai-tools

11

16

draft-pull-request Draft pull requests with structured descriptions using gh CLI

jellydn/my-ai-tools

10

17

docs-update Update docs when code changes — reviews commits and syncs user-facing documentation

jellydn/my-ai-tools

9

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thermo-nuclear-code-quality-review Run an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. …

jellydn/my-ai-tools

8

19

llm-wiki Build a persistent compounding wiki from raw sources using the LLM Wiki pattern

jellydn/my-ai-tools

5

20

blindspot-pass Find unknown unknowns before starting implementation — searches git history, patterns, and architecture for hidden go…

jellydn/my-ai-tools

4

21

capability-experiments Experiment with model capabilities — HTML reports, embedded questionnaires, proactive research, multi-step reasoning

jellydn/my-ai-tools

4

22

code-quality-review Run an extremely strict maintainability and structural code quality review — flags abstraction issues, spaghetti grow…

jellydn/my-ai-tools

4

23

code-review Review the diff since a fixed point along two axes — Conventions (does the code follow this repo's coding standards a…

jellydn/my-ai-tools

4

24

context-discovery Discover context using MCP tools — fff, sem, ctx, qmd, codebase-memory-mcp for codebase understanding

jellydn/my-ai-tools

4

25

doc-search Search project documentation — ADRs, wiki entries, conventions via ripgrep, qmd, fff, and ctx

jellydn/my-ai-tools

4

26

git-context Search git history for context — commit messages, blame, related changes, impact analysis

jellydn/my-ai-tools

4

27

implementation-logger Log implementation decisions — tracks deviations from plan and captures rationale

jellydn/my-ai-tools

4

28

quiz-me Verify understanding after implementation with targeted quizzes

jellydn/my-ai-tools

4

29

spec-interview Clarify requirements through targeted questions — uncovers unknown unknowns in specs

jellydn/my-ai-tools

4

30

orchestrating-fusion Coordinates a strong read-only lead with a cheaper implementation executor. Use for non-trivial coding tasks that ben…

jellydn/my-ai-tools

1

31

security-audit Use when reviewing code for security vulnerabilities, hardening an application, or deriving security requirements fro…

jellydn/my-ai-tools

1