Daily-workflow skills for PMs: model routing, self-QA, prompt optimization, MCP context audit, project memory.
Plugin pm-tactical from marketplace ai-pm-skills in Abhillashjadhav/AI-PM-essential-skills. Commands read from the repo's manifest — 27 days ago.
builder-validatorUse this skill when the user asks to generate an artifact (document, code, post, analysis, design spec) and wants it validated, self-checked, or quality-assured before seeing it — or whenever they say "make sure it meets the requirements", "validate against the spec", "self-QA this", "check your own
cli-over-mcp-auditorUse this skill when the user asks to audit MCP connector context cost, compare CLI and MCP workflows, or investigate context overhead. On the first substantial prompt, offer a brief suggestion only if irrelevant full tool definitions are visibly loaded; do not infer loaded schema cost from connected
model-complexity-routerUse this skill proactively whenever the user hands over any substantial task to execute — not just when they ask about models. Use this skill when a concrete work item is handed over by silently scoring it and emitting one compact line noting the current model, the score, the recommended tier, and t
pm-context-systemUse this skill proactively during any session — observe the conversation, and the moment a decision is made or context worth keeping surfaces, propose a one-line log entry rather than interviewing the user up front. Use this skill when the user makes an explicit request too — wanting Claude to remem
prompt-optimizer-loopUse this skill when the user wants to improve, tune, or optimize an existing prompt or system instruction — phrasings like "improve this prompt", "my prompt works 80% of the time", "optimize my system prompt", "make this prompt more reliable", "tune this instruction". Runs an interactive optimizatio
haiku-executorExecutes low-complexity tasks (cosmetic edits, formatting, simple lookups, mechanical transformations) delegated by the model-complexity-router. Fast and cheap.
opus-executorExecutes high-complexity tasks (architecture, multi-file refactors, novel tradeoff analysis, high error-cost decisions) delegated by the model-complexity-router.
sonnet-executorExecutes mid-complexity tasks (single features, standard analyses, drafts with known patterns) delegated by the model-complexity-router. Balanced cost and quality.
Agent-orchestration graph designer: qualifies loop versus graph, then produces bounded node, typed-edge, handoff, join, shared-state, recovery, budget, permission, verification, and human-approval contracts with synchronized visual, machine-readable, and runnable artifacts.
1 skill
Pre-build AI product decision contract: defines falsifiable assumptions, explicit kill thresholds, the cheapest decisive evidence plan, and a decision date before development starts.
1 skill
Recurring-workflow design with discovery, deduplication, verification, durable-state rules and scheduled prompt templates; enforcement belongs to the host runtime.
1 skill
Scoped MCP 2026-07-28 migration review with cited rules, deployed-version context and explicit unknowns.
1 skill
Asks the 26 questions needed to build a model grader and nothing else: what the grader itself is, output shape, the eight integrity questions whose absence lets a model fake success, and the verdict rules. Tracks four gates per rule, exits on a buildability dry-run, and blocks freeze without a recorded trail.
1 skill
Voice-preserving product-writing editor: removes recognisable AI-writing patterns, protects facts and product judgment, and returns a clean draft with named edits.
1 skill
Token usage tracking, model cost attribution per agent, budget alerts, and optimization recommendations
24 skills · 1 command · 1 agent · hooks
Create new skills, improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, or benchmark skill performance with variance analysis.
1 skill
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
Bring Pendo product analytics into Claude: account health, feature adoption, session replay lookup and triage, feedback analysis, and data-informed planning grounded in real usage data. Requires the Pendo connector and a Pendo subscription.
6 skills · 2 MCP servers
45 advanced engineering skills: agent designer, agent workflow designer, RAG architect, database designer + schema designer + SQL assistant, migration architect, observability designer, dependency auditor, changelog generator, API design reviewer, API test suite builder, CI/CD pipeline builder, MCP server builder, skill security auditor, skill tester, performance profiler, focused-fix, browser-automation, full-page-screenshot, git-worktree-manager, monorepo-navigator, codebase-onboarding, interview-system-designer, runbook-generator, spec-driven-workflow, secrets-vault-manager, env-secrets-manager, pr-review-expert, self-eval, tc-tracker, feature-flags-architect, kubernetes-operator, chaos-engineering, ship-gate, slo-architect (error-budget + multi-window burn-rate alerts per Google SRE Workbook), tech-debt-tracker, agent-regression-evals, coding-agent-rollout, commit-craft, agent-run-forensics and i18n-localization. Agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw.
48 skills · hooks
Execution and product management skills: PRDs, OKRs, roadmaps, sprints, pre-mortems, stakeholder maps, user stories, prioritization frameworks, live Q&A and polls, and more.
18 skills · 11 commands
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