Always-on "write the least code that fully works" discipline. A SessionStart hook injects the full decision LADDER (skills/minimal-code) and a UserPromptSubmit hook re-injects a compact reminder every turn so the agent ships the SMALLEST code that satisfies the requirement — never thousands of debug-hostile lines — WITHOUT cutting validation, error handling, security, or accessibility. Both hooks are node-guarded and fail-quiet (node is OPTIONAL: absent -> the hooks stay silent and the skill still works on demand; never a hard dependency), and they INJECT CONTEXT ONLY — they make no gate decision, so every gate in this marketplace stays pure shell/awk. Intensity off|lite|full|ultra via /minimize, mirrored into STATUS.json for the dashboard. YAGNI applies only to UNREQUESTED scope: anything the builder PLAN or the user mandates stays in-scope. Ladder adapted from Ponytail by Dietrich Gebert (MIT).
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Explore a backend codebase once with breadth (Sonnet) + depth (Opus) sub-agents, then persist a durable .claude/explorer/ memory so future sessions understand the code without re-exploring.
Productizes this marketplace's own audit methodology (the F1–F13 failure classes) as deterministic, pure-shell/awk REGRESSION detectors plus breadth+depth review sub-agents. Scans every plugin's hooks, guards, manifests, and vendored libs; emits HIGH/MEDIUM/LOW/ADVISORY findings to .claude/auditor/FINDINGS.md; and records a HIGH count in the STATUS contract so the pipeline release gate can enforce 0-high. Silent on a clean tree, fires only on a regression. No python dependency — identical on python-less / Windows hosts.
Conductor plugin that sequences the explorer -> builder flow and gates it behind a deterministic RELEASE GATE. Reads the per-module STATUS contract and durable memory, runs exploration first when memory is missing or stale, then the spec-driven build (or BUG-FIX MODE), then verifies release-readiness (fresh memory, builder done with full coverage map, bug-fix net green, changelog present, auditor 0-high when present). Advisory by default; enforce via settings.enforce_release or PIPELINE_ENFORCE=1. Pure shell/awk gate — no python dependency.
Spec-driven agentic implementation for Claude Code. Reads the explorer codebase memory as ground truth, plans a requested change with clarity + technical-plan gates, decomposes it into atomic edge-case-hardened tasks (micro-level precision), implements only what the spec says with a per-edit lint/type feedback loop and hybrid retrieval, runs hybrid QA, and keeps the durable memory in sync. Includes a reproduce-first BUG-FIX MODE that turns vague, repro-less bug reports into verified, regression-safe fixes via a failing reproduction + characterization tests + a deterministic regression gate.
Reviews a CHANGE (the working-tree diff vs HEAD) against the explorer MEMORY.md invariants and risk map, the approved PLAN scope, and the codebase's surviving callers. Deterministic, pure-shell/awk checks (R1 caller-integrity, R2 convention-regression — BLOCKING; R3 risk-touch, R4 scope-discipline — CONCERN) plus breadth+depth review sub-agents. Emits BLOCKING/CONCERN/NOTE findings to .claude/reviewer/REVIEW.md and records a BLOCKING count in the STATUS contract so the pipeline release gate can enforce 0-blocking. Orthogonal to the auditor (change-vs-invariants, not whole-tree regression). Silent on a clean/in-spec change; no python dependency.
npx claudepluginhub hafizmirhamza276-lab/backend-agentic-marketplace --plugin minimalistComprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Harness-native ECC plugin for engineering teams - 67 agents, 278 skills, 94 legacy command shims, reusable hooks, rules, MCP conventions, and operator workflows for Claude Code plus adjacent agent harnesses
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
v9.52.0 - Reliability wave: tangle contextual review correction loop with hard round ceiling, progress-supervised review rounds (per-agent stall watch, descendant-tree kills), council diversity and agy pin fixes, marketplace generator source-of-truth fix, provider troubleshooting runbook and cost-expectations docs. Run /octo:setup.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Comprehensive startup business analysis with market sizing (TAM/SAM/SOM), financial modeling, team planning, and strategic research