agentic-coding plugins

by Justin Sternberg

Codex model stances and delegation discipline for testing frontier-model behavior across Sol, Terra, and supporting models.

by Diego Romero

Autopilot for spec-driven development. The human signs off and merges; planwright flies the spec. Scales to a multi-spec fleet: an agentic software factory on Claude Code primitives.

by Aviv Sinai

Map a task's unknowns with a staged quadrant walk - known knowns, known unknowns, unknown knowns, unknown unknowns - ending with a four-quadrant map, then carry it through implementation notes, buy-in docs, quiz gates, and session handoffs. Synthesis of Thariq Shihipar's 'A Field Guide to Fable', dzhng's explore-unknowns, Addy Osmani's agent-skills, and davidondrej/skills.

by chosh

Know your unknowns — an operational loop for finding and managing the gaps between the map (your plan) and the territory (the actual code and domain). Provides blind-spot investigation (blindspot), domain primers (teach-me), interviews, divergent prototypes, solution brainstorming, reference analysis, tweak-likelihood-ordered planning (plan), deviation notes (notes), independent verification, buy-in documents, and comprehension quizzes as skills/agents/hooks. Based on Thariq Shihipar's (Anthropic) 'Field Guide to Fable' talk and its 'Know your unknowns' example collection.

by matheusPavaneli

Ticket-to-PR development workflow: triage, plan with verified citations, implement inside the plan, review, commit, PR. Pluggable issue trackers (Jira, Azure DevOps, GitHub Issues) or a backlog in the repo, so it works with no tracker at all.

by ojiman

A small personal collection of Agent Skills, each written up from something that actually went wrong on a real project.

by Webgrip

Refactor agent-maintained code where it measurably lowers what coding agents spend on future changes: git-hotspot targeting with agent share, a repeated-run token measurement harness over the agent's own usage stream, Fowler-catalog refactorings ordered by what shrinks the read set, tool-driven execution with a per-step gate, and a break-even model priced per token class with a safety factor.