jnyross
Community@jnyross
jnyross publishes 45 agent skills for code review, debugging, migrations, architecture design, and verified multi-step engineering work.
Agent Skills by jnyross
Showing 45 vetted skills indexed across 1 GitHub repositories.
figure-it-out
Designs an auditable multi-phase playbook for large migrations and ambiguous engineering tasks.
bro
Restates the previous AI message in plain language without jargon.
interrogate
Spawns multiple LLM reviewers to adversarially review code changes and synthesizes a verdict.
principle-boundary-discipline
Concentrates validation and error handling at system boundaries while keeping business logic in pure functions.
setup-pstack
Configure per-role model assignments for pstack by writing an always-applied Cursor rule.
swarm
Fan out parallel cloud workers and aggregate their results into one report.
principle-model-the-domain
Encodes domain logic into data structures instead of scattered conditionals across codebases.
technical-writing
Applies Diátaxis, Google style, STE, and Global English rules to technical documentation.
principle-fix-root-causes
Guides debugging by tracing symptoms to root causes instead of applying symptom-level workarounds.
why
Investigate design rationale behind code by querying seven evidence sources in parallel.
principle-encode-lessons-in-structure
Converts recurring corrections into lint rules, runtime checks, and automation scripts.
how
Explains codebase architecture and subsystem flows through parallel explorer agents and optional multi-model critique.
blast-radius
Analyzes what a code change could break beyond the diff and proves safety facts by running real code.
principle-guard-the-context-window
Routes large payloads to subagents and keeps summaries in the main context window.
principle-subtract-before-you-add
Guides removal of dead code and redundant logic before adding new features.
reflect
Spawns three parallel review subagents over a session transcript to route learnings into skill edits.
principle-foundational-thinking
Guides structural decisions on data structures, scaffolding order, and concurrency before writing logic.
show-me-your-work
Maintains an append-only TSV decision log recording choices, evidence, and results for reviewable long-running work.
principle-build-the-lever
Guides building rerunnable codemods, scripts, and generators instead of manual edits.
poteto-mode
Orchestrates multi-step engineering work through playbooks, principles, and verified subagent delegation.
principle-make-operations-idempotent
Designs state-mutating operations to converge to the same end state across retries and crashes.
recall
Reconstruct recent working context from chat history and shared records into a status brief.
principle-sequence-verifiable-units
Sequences multi-step code changes into small units verified before advancing.
make-bot-ui
Builds a local web UI that wakes a Grok Bot through a webhook routine over Tailscale.
Frequently Asked Questions About jnyross
FAQPage SchemaWhat tasks can I accomplish with jnyross's skills?▼
You can run adversarial multi-model code reviews, trace bugs to root causes, measure blast radius of changes, design module architecture before coding, orchestrate parallel worker swarms, write Diátaxis-standard documentation, and maintain auditable decision logs for long-running or unattended engineering work.
Who are these skills designed for?▼
Software engineers and technical leads doing code review, debugging, migrations, and architecture design. Skills like typescript-best-practices target anyone editing .ts or .tsx files, while principle skills guide developers wiring validation, designing types, or sequencing refactors and multi-step changes.
How do the review and verification skills work in practice?▼
Skills like interrogate spawn multiple LLM reviewers that challenge changes from independent angles, while blast-radius executes real code to prove safety. The show-me-your-work skill keeps a TSV decision log with what, why, evidence, and result per decision for human review.
What prerequisites or dependencies do these skills require?▼
Skills are invoked by name or trigger phrases within an agent environment. The why skill discovers available MCPs to query source control, issue trackers, docs, chat, observability, and error tracking. The setup-pstack skill configures which models pstack uses per role based on detected available models.
Do these skills support parallel or large-scale work?▼
Yes. The swarm skill fans out N parallel workers and returns one consolidated report, arena spawns N competing candidates and grafts the strongest parts together, and figure-it-out designs auditable playbooks for large migrations with hypothesis loops and logged decisions.