sdlc
claudecodexSDLC agent team: leveled builders, planners, verifiers and more, dispatched as sub-agents on Claude and natively on Codex, at a fixed model and effort per level.
34 skills · 38 agents
Progressive disclosure, capability contracts, evidence, bounded reuse, context-routing diagnosis, system atlases and ICM workspaces.
Plugin context from marketplace nonoun in kimgranlund/nonoun-plugins. Commands read from the repo's manifest — today.
classify-and-resolveDesign and grow classify-and-resolve workflows: incoming items get a class from a closed set, with an explicit unclassified route, and go to a resolver with a declared contract, through a cascade of rules, observed evidence, decision models and humans, an autonomy matrix guarded by evaluation gates,
context-fog-of-warExplain Codex, Claude Code, custom web-chat and runtime-harness bundle context-routing decisions with evidence-backed decision traces, routing diagnoses, and guidance improvements; statically audit a codebase or corpus's guidance contracts (catalogs, schemas, skills, prompts, checks, oracles); rende
context-routing-reviewReview and test repository context routes for reusable-component authors and application consumers, including fresh-agent planning or implementation trials. Use after guidance reorganizations or demonstrated discovery gaps; not for ordinary UI implementation alone.
controlled-natural-languageWrite and review high-stakes statements in a controlled natural language (CNL): a small, evidence-gated set of sentence patterns per document type, checked by a linter against the corpus vocabulary. Use for requirements, specs, ADRs, acceptance criteria, runbooks, SOPs, policies, compliance language
decision-questionsDesign bounded questions for a decision model and act on the answers safely: question shape, domain-scoped options with authored contrast, threshold bands for choices and scores, compare mode with a margin for yes/no propositions, joint labels assembled in code, and a checker, suggester, voter role
evaluation-systemDecide whether something is good enough using evidence: case sets, graders, metrics and gates for prompts, agents, classifiers and resolvers, a skill's triggering, a linter's precision, generated artifacts or human review processes, grown in evidence-gated stages with a suite validator and a runner.
generative-systemsDesign, use and improve generative systems grounded in authoritative kits, templates, contracts and assets. Use for context architecture, source fidelity, generation drift, reusable mechanics and bounded efficacy evaluation. Complements domain authoring skills; does not apply to every writing or cod
icm-architectDesign any process, idea, problem, or body of knowledge into an ICM (Interpretable Context Methodology) workspace — folder structure as agent architecture — or restructure an existing folder, repo, or vault into one. Use when the user wants to (1) turn a recurring workflow into an agent-runnable fol
knowledge-modelingDefine and evolve domain concepts, typed relationships, evidence-backed mappings and interpretation rules. Use to model knowledge, reconcile vocabularies, audit semantic decisions or preserve meaning across revisions; not for ordinary prose edits or documentation navigation alone.
knowledge-organization-systemKeep a corpus's vocabulary consistent with a lightweight KOS (knowledge organization system, a SKOS subset): one vocabulary.yaml of defined concepts, labels and links that grows only on evidence, plus a validator. Use for glossaries, terminology, naming conventions, "what do we call X", the same thi
progressive-contextDesign, review, or refactor progressive-context systems for repositories, document corpora, knowledge bases and runtime harnesses. Use to improve how tasks discover sufficient authoritative context, with bounded traversal and evidence-backed route tests, without requiring a particular vendor or layo
system-atlasDraws a whole system as large workflow diagrams from two directions and publishes them as one full-width artifact: an inventory of its machinery (skills, agents, commands, rules, hooks, checkers, evaluators, verifiers, ontologies, knowledge bases), a machinery map, journey marks, an enforcement matr
SDLC agent team: leveled builders, planners, verifiers and more, dispatched as sub-agents on Claude and natively on Codex, at a fixed model and effort per level.
34 skills · 38 agents
UI construction, UI geometry, HCT palettes, inspector jigs, component variants, wireframe review and design critique.
7 skills
Machine, repo and harness care: verification loops, flaky gates, port zombies, bare repos, macOS builds, cross-harness plugins, skill report cards.
7 skills
Talk like caveman. Cut filler. Keep technical details explicit.
22 skills · 1 command · 3 agents · hooks
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
tasteskill 2.5.1: professional company websites at the figma.com and x.ai level, with one section per screen, real photographs, real product UI, effects kept for tech and gaming pages, and a real-browser checker and finish gate.
1 skill
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Package any website or local web build into a lightweight desktop app with Pake CLI.
1 skill
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