By kulykivska
Task lifecycle: requirements, plan-task, task-review, debug, qa skills + architect and debugger subagents.
Designs the implementation approach for a substantial feature or refactor before coding: reads the affected code, weighs alternatives, returns a concrete file-level plan with tradeoffs. Use for multi-file features, cross-repo changes, or when two plausible approaches exist.
Investigates a bug or incident from evidence: logs (Fly/local), stack traces, recent commits. Returns root cause + proposed minimal fix with file:line. Use for non-trivial bugs, prod errors, or when the cause is unclear.
Systematic debugging of a reported problem: reproduce, gather evidence from logs, hypothesize, fix, verify. Trigger on "не работает", "разберись почему", "debug", a pasted stack trace, or a prod incident report.
Accumulated engineering lessons from real production incidents across the owner's projects. Load PROACTIVELY during development, code review, and planning of any feature that sends notifications, handles errors, or runs on a schedule - and whenever a new incident is analyzed, append its lesson here. Trigger on "проверь на повторяющиеся события", "lessons", or when implementing notification/alert/email logic.
Plan the implementation of a defined task before writing code. Trigger on "спланируй", "plan this", or before starting any multi-file change. Produces the file-level plan, risks, and verification strategy, grounded in the actual code (not assumptions).
Exercise a change end-to-end like a user before declaring it done. Trigger on "протестируй", "qa this", or after implementing any user-visible change. Drives the real flow (API calls, running app, UI), not just unit tests.
Turn a raw (often dictated) idea into concrete requirements before coding. Trigger on "давай сделаем...", "хочу фичу...", "add a feature", or any substantial new-feature request where scope is fuzzy. Produces user-visible behavior, edge cases, acceptance criteria, and a consistency check against the existing app.
Uses power tools
Uses Bash, Write, or Edit tools
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One source of truth for personal Claude Code tooling across all projects
(RaceModel, f1-predictor, Jarvis, Aura, GT7 Engineer, ...). Registered as the
personal marketplace from this local path and enabled by default in
~/.claude/settings.json, so every project picks it up automatically.
Interactive versions below (GitHub renders Mermaid with pan/zoom controls):
flowchart TB
settings["~/.claude/settings.json<br/>extraKnownMarketplaces + enabledPlugins<br/>(user scope = every project)"]
mp["personal marketplace<br/>.claude-plugin/marketplace.json"]
settings --> mp
subgraph workflow["Workflow skills"]
ppr["pre-push-review<br/>fix-and-verify before push"]
morn["morning / evening<br/>daily kickoff + wind-down"]
sdlcS["sdlc skills:<br/>requirements · plan-task ·<br/>qa · task-review · debug"]
flyops["fly-ops skills:<br/>deploy · fly-logs · incident"]
bizS["seo-audit · social-post ·<br/>weekly-report"]
end
subgraph agents["Engineering subagents"]
arch["architect<br/>(design before coding)"]
dbg["debugger<br/>(root cause from evidence)"]
pyr["python-reviewer<br/>(FastAPI, async, failure paths)"]
webr["web-reviewer<br/>(React/TS, i18n, gating)"]
swiftr["swiftui-reviewer<br/>(crashes, StoreKit, l10n)"]
mlr["ml-reviewer<br/>(LORO gate, leakage,<br/>FEATURE_COLS sync)"]
end
subgraph growth["Growth & content subagents"]
seoA["seo-strategist<br/>(keywords → LLM SEO)"]
resA["researcher<br/>(cited, verified briefs)"]
cwA["content-writer<br/>(LinkedIn · Threads · X · IG)"]
rbA["report-builder<br/>(reports · decks · updates)"]
asoA["aso-optimizer<br/>(App Store growth)"]
gaA["growth-analyst<br/>(funnel leaks → experiment)"]
owA["outreach-writer<br/>(pitches that get replies)"]
end
subgraph hooks["Hooks (automatic)"]
guard["guardrails · BLOCKING<br/>fly destroy / DROP·TRUNCATE /<br/>force-push main / attribution /<br/>secrets+PII scan"]
coachh["coach · non-blocking<br/>edit nudges · session banner ·<br/>failure hints · uncommitted reminder"]
gate["pre-push gate<br/>(user-level hook, versioned in<br/>.claude/scripts/)"]
end
subgraph infra["Infrastructure"]
lspP["lsp<br/>pyright · tsserver · sourcekit"]
mon["monitors<br/>tsc-watch · dev-log errors"]
mcpC["mcp-catalog<br/>(examples, opt-in)"]
end
mp --> workflow
mp --> agents
mp --> growth
mp --> hooks
mp --> infra
sdlcS -. delegates to .-> arch
sdlcS -. delegates to .-> dbg
ppr -. can corroborate with .-> pyr
ppr -. can corroborate with .-> webr
ppr -. can corroborate with .-> swiftr
ppr -. can corroborate with .-> mlr
gate -- blocks git push until review --> ppr
The task lifecycle the pieces compose into:
flowchart LR
R["requirements"] --> P["plan-task<br/>(+ architect)"] --> I["implement<br/>(coach nudges,<br/>guardrails veto)"] --> Q["qa"] --> T["task-review<br/>(+ reviewers)"] --> G["pre-push gate →<br/>pre-push-review"] --> D["deploy<br/>(fly-ops)"] --> M["monitor<br/>(fly-logs, incident,<br/>debugger)"]
M -. bugs feed back .-> R
M --> A2["announce<br/>(social-post)"] --> G2["growth-analyst<br/>reads the funnel"] -.-> R
npx claudepluginhub kulykivska/claude-plugins --plugin sdlcFix-and-verify review that fixes code smells, security, scalability, and performance issues before any git push.
Non-blocking coaching hooks: per-stack nudges on edit, session status banner, failure hints, uncommitted-changes reminder.
Fly.io ops runbooks: deploy, fly-logs, incident triage.
Business growth subagents: aso-optimizer (App Store), growth-analyst (funnel/conversion), outreach-writer (partnership and consulting pitches).
Per-stack reviewer subagents: Python/FastAPI, web (Vite/React/TS), SwiftUI, ML pipeline.
Evidence-gated AI coding workflow: scan → analyze → plan → TDD → execute → fix → verify → review, powered by Codebase Memory MCP >= 0.9.0 with optional Serena LSP intelligence. Includes blast-radius planning, test/cycle gates, independent review, and Windows Git Bash hook auto-resolution.
Complete creative writing suite with 10 specialized agents covering the full writing process: research gathering, character development, story architecture, world-building, dialogue coaching, editing/review, outlining, content strategy, believability auditing, and prose style/voice analysis. Includes genre-specific guides, templates, and quality checklists.
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