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Claude Skills by Abhillashjadhav
github.com/Abhillashjadhav16 skills0 installs23 views
- Prd FirstForces a written PRD before any code generation. Use this skill when the user says "build", "create app", "make me a", "vibe code", "let's build", "I want an app that", "spin up a", "prototype a", "ship a", or any phrasing that signals they want code generated from a high-level idea. Also use when the user references an existing project but the conversation has no PRD context (no /prds/ file referenced, no clear success metric). The skill blocks code generation until a 5-field PRD exists as a...Votes: 0GitHub stars: 6
- Agent Graph DesignerUse this skill when the user asks to design an agent graph, graph a multi-agent workflow, connect agents or loops, parallelize specialist agents, define agent handoffs or joins, map conditional branches and approval gates, or decide whether a workflow needs a loop or graph. It qualifies LOOP_SUFFICIENT versus GRAPH_REQUIRED, then produces outcome, node, typed-edge, shared-state, join, recovery, permission, budget, verification, and human-approval contracts plus Mermaid, machine-readable, and ...Votes: 0GitHub stars: 6
- Ai Feature Kill CriteriaDefine falsifiable assumptions, explicit kill thresholds, an evidence plan, and a decision date before an AI feature is built. Use when a team is excited by a demo, proposing an AI feature, debating whether to prototype, or continuing investment without clear stopping conditions. Do not use for post-launch evaluation or ordinary roadmap prioritization.Votes: 0GitHub stars: 6
- Concise RewriterUse this skill when a user wants to compress verbose model output, shorten a draft, reduce token usage, or improve the signal-to-noise ratio of any text. Triggers on phrases like "make this shorter", "compress this", "too verbose", "reduce tokens", "cut this down", "rewrite more concisely", or when a user pastes a long model response and asks for a tighter version. Rewrites the input at the same information density, shorter — then reports measured token counts or clearly labeled estimates. No...Votes: 0GitHub stars: 6
- Context AuditorUse this skill when a user wants to audit a CLAUDE.md, system prompt, agent context file, or any assembled context before running it in production. Triggers on phrases like "audit my context", "check my CLAUDE.md", "review my system prompt", "why is my agent behaving badly", "context issues", or when a user pastes a context file and wants it reviewed. Scans for the four known context failure modes — poisoning, distraction, confusion, and clash — and returns a severity-rated diagnostic. Do not...Votes: 0GitHub stars: 6
- Loop DesignerUse this skill when the user says turn this into a loop, run this on a schedule, automate this daily, build me a loop, make this recurring, design a loop for a task, or loop this task — any request to make a one-off task a recurring autonomous job. Interviews minimally (goal, sources/inputs, output destination, schedule), then generates a five-part loop spec (Discover, Plan, Execute, Verify with a separate verifier checklist, Stop-or-Repeat), a non-negotiable guardrails block (max-iterations ...Votes: 0GitHub stars: 6
- Mcp Migration AuditorUse this skill when the user wants to audit my MCP setup, check MCP compatibility, asks will my MCP servers break, mentions MCP spec migration, wants an MCP 2026 spec check, or says scan mcp config — also on any readiness question about the MCP 2026-07-28 specification (stateless transport, removed Mcp-Session-Id, deprecated roots/sampling/logging, experimental Tasks migration, OAuth hardening). Locates MCP configs (.mcp.json, claude_desktop_config.json, mcp.json, settings files) or accepts a...Votes: 0GitHub stars: 6
- Model GraderUse this skill when someone needs to define what correct output means for an AI feature so that a grader can be built from the answers. Triggers on "build a grader", "define good", "what should the eval check", "how do we know the agent got it right", "write the acceptance criteria", "is this spec complete enough to test", "the agent keeps doing X and nobody agreed whether that is wrong", or any handoff where a model will be judged against a description a human wrote. Runs a twenty-six questi...Votes: 0GitHub stars: 6
- Human Product WriterUse this skill when the user wants to rewrite, edit, sharpen, humanize, or de-slop product writing such as LinkedIn posts, product memos, launch notes, strategy updates, PRDs, emails, or executive summaries. Preserve the writer's point, evidence, vocabulary, bluntness, uncertainty, and product judgment. Remove recognisable AI-writing patterns without turning the draft into generic polished prose. Do not use when the user only wants factual research, a brand-new document without source materia...Votes: 0GitHub stars: 6
- 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 work", or after repeated correction rounds on the same artifact. Freezes the requirements into binary pass/fail criteria BEFORE generating, generates, then audits the output against the frozen cri...Votes: 0GitHub stars: 6
- 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 servers or deferred tool names. Distinguishes measured, estimated and unknown costs, checks workflow coverage and permissions, and leaves configuration changes to the owner. Do NOT use for connect...Votes: 0GitHub stars: 6
- 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 the potential savings, without blocking or delaying the task itself. Also fires on direct questions like "which model should I use", "is this an Opus task", "route this to the right model", "am I ov...Votes: 0GitHub stars: 6
- 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 remember their work across sessions, set up persistent project context, or complaining that Claude starts from zero every time — phrasings like "set up my context system", "make Claude remember my stake...Votes: 0GitHub stars: 6
- 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 optimization loop, one mutation per round, scored against a locked binary checklist, keeping only changes that improve the score. Requires three inputs from the user — the target prompt, 2-3 realistic test in...Votes: 0GitHub stars: 6
- Eval EngineUse this skill when a user supplies an AI feature spec, PRD, PMOS/task contract, existing eval suite, traces, outputs, state evidence, or release question and wants to define good, create or run evals, grade outcomes, agent trajectories, end-to-end system checkpoints, or promised memory behavior, add deterministic or model graders, calibrate an LLM judge against human goldens, compare repeated trials, inspect failures, debug evaluation evidence, or make a CI release decision. Produce one prov...Votes: 0GitHub stars: 6
- Token Cost EstimatorUse this skill when estimating inference cost before running a prompt in production or sharing a workflow with stakeholders. Triggers on phrases like "how much will this cost", "compare model costs", "which model should I use", "estimate tokens", "pre-flight check", or when a user pastes a prompt and asks about inference economics. Takes a prompt and a list of candidate models, then returns a projected cost and latency comparison across candidate models, distinguishing measured tokens from es...Votes: 0GitHub stars: 6