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Claude Skills by grahama1970
github.com/grahama1970316 skills1 installs496 views
- Acceptance ContractTurn a client brief, zip bundle, directory, or single requirements file into a typed acceptance-contract bundle with extracted requirements, acceptance checks, open questions, an immutable-goal draft, and a create-report-backed decision report. Use when users say acceptance contract, brief to requirements, freeze the goal, create immutable goal, amend immutable goal, build a Battle requirements bundle, or extract requirements from this bundle.Votes: 0GitHub stars: 7
- Ai DetectionRun the ai-detection coding-assessment evidence workbench, train a Python code detector, inspect retained proof, or evaluate code-detection readiness. Use when the user asks for AI code detection, assessment evidence, or ai-detection.Votes: 0GitHub stars: 7
- Best Practices Diagram DesignValidate diagram meaning and rendered geometry before publication. Use when selecting or reviewing flowcharts, decision trees, sequences, lifecycles, fanouts, swimlanes, C4/architecture diagrams, or Excalidraw templates.Votes: 0GitHub stars: 7
- Best Practices QraCanonical rules for QRA pair generation, reasoning provenance, model-training datasets, human-authored submission boundaries, critique-only assistants, reward/verifier design, and 2026 reasoning-model research gates. Use when designing, reviewing, training, evaluating, or deslopping QRA question, reasoning, answer, critique, or reward-model pipelines.Votes: 0GitHub stars: 7
- Best Practices Reasoning TraceWhat separates successful from failed reasoning traces in real agent sessions, and the labeling contract that makes that claim checkable. Use when mining transcripts for training data, scoring a live run's reasoning quality, deciding whether a trace counts as a success or failure example, building verifier/critique datasets from agent transcripts, or when the human asks what makes reasoning succeed or fail across models. Encapsulates hand-written priors from operator lessons plus the outcome-...Votes: 0GitHub stars: 7
- Best Practices WorkflowscriptAuthoring standard for pi-subagents workflowScripts: portable syntax, provider preflight, bounded loops with explicit terminal states, one-writer mutation, independent review gates, and honest failure reporting. Use when writing, reviewing, or standardizing any workflowScript or workflowScriptPath file, when a workflow needs an interview before authoring, or when adding a shared preflight or visual explainer to a workflow.Votes: 0GitHub stars: 7
- GmailRead-only Gmail access through the authenticated Chrome tab via surf. Find the Gmail tab, snapshot inbox rows, open and read a thread by keyword. Use when the user says "check my email", "read the inbox", "did a verification code arrive", "find the bounce message", or when a workflow needs email as an inbound channel (codes, bounces, replies). Outbound mail is out of scope — drafts belong to mailbox-mining.Votes: 0GitHub stars: 7
- JevNative typed decisions for Pi (TypeScript extension) and Tau (Python package and registration decorator). Use Jev to classify bounded tasks, select from retrieved skills and registered tools, assess required model capabilities, and rank Memory/ingest-code evidence before context assembly. Deterministic code owns scheduling, authorization, freshness and execution. No Needle model, Python-to-Node bridge, independent retrieval engine, or approval authority.Votes: 0GitHub stars: 7
- Ops GodaddyGoDaddy DNS operations via the API: diagnose mail-auth (SPF/DKIM/DMARC/MX), put records, replace whole zones. Use when the user says "godaddy", "dns records", "spf", "dmarc", "dkim", "mx records", "email bouncing", "domain verification", or asks to fix mail authentication for a GoDaddy-managed domain.Votes: 0GitHub stars: 7
- Ops RecruiterTurn a recruiter message plus Graham's approved resume/claim context into a drafted, humanized reply — webgpt writes, webkimi humanizes — with optional brave-search company research as a seed. Claim-bound (never mints facts) and human-transmitted only (never sends). Stores correspondence in Memory. Use when a recruiter emails or messages about a role and Graham wants a tailored reply drafted with comprehensive context. Composed by monitor-opportunities.Votes: 0GitHub stars: 7
- Agent EcosystemCanonical map and shared contracts for the agent-governance ecosystem: the pi.receipt_envelope.v1 boundary envelope, the component graph, and the rules for which component owns which schema. Use when wiring a skill or extension into the shared receipt world, when asking how shame, triage-error, tau, ask, project-watchdog, ops-herdr, ponytail, and Memory fit together, or when validating an envelope.Votes: 0GitHub stars: 6
- Agent InboxFile-based inter-agent messaging with headless dispatch. Check inbox, send bugs/requests to other projects, automatically spawn headless agents to fix bugs, and track progress via task-monitor.Votes: 0GitHub stars: 6
- Agent StatusArtifact-driven status surfaces for long-running project-agent work. Maintains status.json, events.jsonl, proof manifests, and a stale-aware STATUS.html so humans can tell where the agent is, what passed, what is still unproven, and what decision or action is next — without dashboard theater.Votes: 0GitHub stars: 6
- Agentic EvalsAgentic evaluation of skills using multi-trial fixtures, deterministic command assertions, trajectory checks, safety constraints, and evidence-backed readiness scoring. Use when users ask for agentic evals, multi-trial skill evaluation, skill trajectory validation, or readiness scoring for a skill workflow.Votes: 0GitHub stars: 6
- Agents RegistryGenerate and query the centralized agent identity registry. Scans .pi/agents/*/AGENTS.md, parses frontmatter, outputs agents-registry.json and optionally syncs to /memory for semantic search.Votes: 0GitHub stars: 6
- AlignRound-based context alignment before execution. Use when the human, project agent, WebGPT, scillm, ask, dogpile, memory, or project-knowledge may each hold different facts about a task; especially before ambiguous design, infographic, product workflow, high-stakes implementation, plan-iterate, project-infographic, or multi-review work.Votes: 0GitHub stars: 6
- AnalyticsFlexible data science analytics for any dataset. Auto-discovers schema, recommends charts, exports to create-figure. Works with JSONL, JSON, CSV from any source.Votes: 0GitHub stars: 6
- Analyze Chatterbox EmotionsEvaluate generated Chatterbox voice files as voice-quality artifacts: affect match, arousal/valence proxies, pause placement, intelligibility inputs, clipping, loudness, and discontinuity flags. Use when reviewing Chatterbox emotional tags, pauses, Turbo/base affect delivery, Persona Dream utterance renders, or whether generated speech matches an intended product-facing affect.Votes: 0GitHub stars: 6
- Analyze ElfReverse-engineer features from ELF binaries. Extracts CLI commands, state machines, protocols, Zod schemas, and data models. Automatically generates a /create-walkthrough prosecution brief with Mermaid diagrams. Uses /treesitter for AST analysis of bundled JS/TS source.Votes: 0GitHub stars: 6
- Animation VocabularyReverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.Votes: 0GitHub stars: 6
- Anonymize DataAnonymize supported CSV, JSON, UTF-8 text, and SQLite files using an explicit policy through the oai-trial project. Use for anonymize data, pseudonymize exports, redact policy literals, or discover and explicitly approve fuzzy name aliases. The skill is a thin CLI/Docker interface, not another engine.Votes: 0GitHub stars: 6
- AnvilHeavy-duty "No-Vibes" debugging and hardening orchestrator. Use this for complex, stubborn bugs where `review-code` has failed, or for "Red Teaming" (hardening) a codebase. Runs multiple agents in parallel (Thunderdome) using git worktree isolation.Votes: 0GitHub stars: 6
- Apple DesignApple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.Votes: 0GitHub stars: 6
- ArgueMulti-persona structured debate orchestrator. Personas research via /dogpile, consult colleagues via /ask, and argue toward nuanced synthesis on complex questions.Votes: 0GitHub stars: 6
- ArxivSearch arXiv for papers and extract knowledge into memory. Use `search` to find papers, `learn` to extract knowledge.Votes: 0GitHub stars: 6
- AskUse when the user asks to query project memory, ask an oracle, use supported browser-backed reviewers, run Tau roundtable/single-handler workflows, ask Pi-native subagents from within Pi, run persona/deep-review workflows, generate image prompts, check OS/project health through composed skills, or run an ask DAG. This skill is the executable /ask runtime; do not replace it with an informal subagent, plain web search, or hand-written review; inside Pi, explicit Pi-native subagent targets are r...Votes: 0GitHub stars: 6
- AssessStep back and critically reassess project state. Use when asked to "assess", "step back", "fresh eyes", "check alignment", "sanity check", "health check", "prune documentation", or "evaluate what's working". Offers documentation pruning and doc-code alignment analysis. Offer to run after major changes (don't auto-run).Votes: 0GitHub stars: 6
- Assistant LabSelf-improvement workbench for /assistant. All the tools needed to diagnose, train, evaluate, and promote models in a continuous loop. The "warm pond" where /assistant evolves its own inference stack.Votes: 0GitHub stars: 6
- AssistantShared GPT + classifier inference gateway for persona monitor tasks. Routes validation and classification through a 4-tier cascade: heuristic → classifier → local GPT → scillm.Votes: 0GitHub stars: 6
- Batch QualityPre-flight validation and quality gates for batch LLM operations. ACTUALLY tests samples through LLM before burning tokens. Uses SPARTA contracts for DuckDB validation queries. Integrates with task-monitor for enforced quality gates.Votes: 0GitHub stars: 6
- Batch ReportGenerate post-run analysis reports for batch processing jobs. Analyzes manifests, timings, and failures to produce comprehensive markdown reports. Optionally sends to agent-inbox for cross-project communication.Votes: 0GitHub stars: 6
- BattleRed vs Blue team security competition orchestrator. Runs long-running overnight battles with 1000s of interactions, scoring, and insight generation.Votes: 0GitHub stars: 6
- Benchmark ModelsStandardized compliance QRA benchmarks against candidate LLMsVotes: 0GitHub stars: 6
- Best Practices AgentNon-negotiable agent behavior rules. Covers: no silent failures, no error bypassing, no raw AQL, no direct imports, no parallel infrastructure, no swallowed exceptions, use existing skills, fix errors don't dodge them, transparency in verdicts, no simulated reviews, and evidence-gated decisions.Votes: 0GitHub stars: 6
- Best Practices ArangodbRepo-specific ArangoDB best practices: leverage text_en analyzer (stop words, stemming, BM25), use AQL functions (LEVENSHTEIN_DISTANCE, TOKENS, NGRAM_SIMILARITY, COSINE_SIMILARITY), store domain knowledge in collections not Python code, and never duplicate DB capabilities.Votes: 0GitHub stars: 6
- Best Practices Bespoke DesignAdvisory-first, evidence-grounded art direction and review rules for creating digital experiences that feel genuinely custom to one brand instead of template-derived. Use when a user asks for bespoke web design, a distinctive visual world, personality-led art direction, an analysis of what makes a designer's work unique, or an audit of whether a website is memorable without copying another designer's signature.Votes: 0GitHub stars: 6
- Best Practices Chat UxBest practices for designing, reviewing, and implementing operator chat, evidence chat, run-card chat, artifact-inspector chat, and compliance-review chat surfaces. Use when users ask for chat UX, operator console UX, agent run UX, evidence receipts, trace cards, artifact drawers, progressive disclosure, or dashboard-drift prevention.Votes: 0GitHub stars: 6
- Best Practices ChatKeep Sparta Chat usable as a modern chat interface while preserving evidence-gated compliance semantics. Use when designing, reviewing, or implementing ChatWell, InlineEvidenceCase, EvidenceWorkspace, ArtifactPanel, distance modes, voice/qid interactions, evidence receipts, artifact previews, or assistant answer ordering.Votes: 0GitHub stars: 6
- Best Practices Chatterbox AgentBest practices for Chatterbox or Chatterbox-Turbo voice agents, especially interruptible Embry-style agents that run memory, search, LLM, or other long-running skills concurrently. Use when designing, reviewing, or coding a voice coordinator, async task batch, JSON event stream, cancellable TTS queue, Chatterbox emotion/tag policy, pause policy, barge-in behavior, or spoken progress/preamble strategy.Votes: 0GitHub stars: 6
- Best Practices ChatterboxBest practices for using Chatterbox and Chatterbox Turbo as an emotional voice renderer: memory-grounded utterance planning, native paralinguistic tags, spaced ellipsis pauses, render_chunks pause_after_ms, intensity/valence routing, reference-audio selection, and retained analyzer evals. Use when coding or reviewing Chatterbox answer_text, emotional tags, tone, pause policy, Persona Dream speech, or non-robotic Embry voice quality.Votes: 0GitHub stars: 6
- Best Practices CinematographyCinematography grammar for AI-generated video scenes: dialogue coverage (shot/reverse-shot, 180-degree rule, eyeline direction), framing vocabulary, motivated lighting, lens/equipment language, and the AI-specific failure modes that break scenes (over-shoulder shots spawning extra bodies, eyeline flips, unmotivated light). Use when composing or reviewing shot prompts for Kling/Wan/any video model, when planning storyboard coverage for a dialogue scene, when a generated shot violates film gram...Votes: 0GitHub stars: 6
- Best Practices CompetitionBest practices for leading Ask compete and bakeoff workflows. Use when a user asks for competing models, isolated candidate implementations, winner selection, feature harvesting, approach comparison, model bakeoffs, or a creator competition where $ask should route browser and API handlers through Tau and the project agent must judge results against local evidence.Votes: 0GitHub stars: 6
- Best Practices ConverseBest practices for conversational response behavior in voice-first agents: conversation tone, emotional steering, paralinguistic cue injection such as [laughter], wait/delay handling, interruption handling, identity-aware memory grounding, and Chatterbox-ready utterance policy. Use when designing, reviewing, or coding Embry-style chat and voice conversation behavior.Votes: 0GitHub stars: 6
- Best Practices CotsAutomated COTS defense UX compliance scanner. Tests against WCAG 2.1 AA, Section 508, MIL-STD-1472H, and NIST 800-53 UI controls via CDP interaction + VLM visual analysis.Votes: 0GitHub stars: 6
- Best Practices D3D3.js visualization best practices for performant, responsive, accessible data visualizations. Covers data joins, scales, axes, transitions, responsive SVG, interaction patterns, and accessibility. Use when writing, reviewing, or refactoring D3 visualizations.Votes: 0GitHub stars: 6
- Best Practices Delivery ProofDelivery-proof discipline for agents driving external effects: browser submits, pane messages, file writes, pushes, API calls. Use when an agent is about to claim something was sent, submitted, delivered, landed, or running; when a transport reports success but the destination shows nothing; when an agent is retrying the same failing operation; or when the human says the agent is lying, skimming, or thrashing. Encodes the 2026-08-18 session in which five browser submits failed and the agent t...Votes: 0GitHub stars: 6
- Best Practices DesignProduct UX and design-practice guardrails for classifying design work, selecting applicable best-practices-* skills, preventing dashboard theater, defining mockup-first acceptance criteria, and deciding when to involve memory, dogpile, ask/scillm reviewers, interview, ux-lab, review-design, D3, React, infographic, or polish-specific skills. Use before creating, reviewing, accepting, or implementing UX direction, mockups, workflow surfaces, visual explanations, dashboards, or research-backed d...Votes: 0GitHub stars: 6
- Best Practices Explain ProjectStandards for feature-level explainability packages: strict JSONL explainers, teleprompter notes, source/debugger stops, Excalidraw/SVG diagram bindings, common architecture interview questions, and end-of-work agent transparency.Votes: 0GitHub stars: 6
- Best Practices FastapiFastAPI best practices for Python control-plane services, async eval APIs, Pydantic contracts, OpenAPI surfaces, security dependencies, deployment handoffs, and Flask fallback adapters. Use when building, reviewing, or converting FastAPI/Flask services, especially skill-backed cyber-safety eval control planes.Votes: 0GitHub stars: 6
- Best Practices FontEvidence-first typography and font-system guidance for digital products, websites, portfolios, dashboards, and design systems. Use when choosing or changing fonts, pairing typefaces, auditing overused font warnings, creating meaningful typographic hierarchy, validating font loading/provenance, or mapping typography to a visual world from best-practices-bespoke-design.Votes: 0GitHub stars: 6