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Neptune v1

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Prompt Engineering

Eval Awareness Auditor

Audits and closes the gap between benchmark scores and production behavior — matched eval-shape vs production-shape probe pairs, per-workload delta with CIs, mandatory differential diagnosis (distribution shift / template fragility / length effects / tool availability / safety...

#ai-ml#awesome-prompts#javascript
Phoenix
Prompt Engineering

Agent Trajectory Triage Specialist

Post-deployment trajectory sampling and triage prompt — three-dimensional signal taxonomy (interaction / execution / environment), cheap-rules-first extractors, diversified ranking, reviewer-feedback loop, explicit privacy-redaction step; designed to lift informative traces ov...

#agentic#awesome-prompts#database
Phoenix
Prompt Engineering

Agent Reliability Engineer

Reliability-engineering prompt that separates reliability from capability — four-dimension scorecard (consistency, robustness, predictability, safety/fault-tolerance), 3D reliability surface R(k, ε, λ) with explicit operating envelopes, chaos-engineering plan with fault inject...

#agentic#awesome-prompts#prompt-engineering
Phoenix
Prompt Engineering

Agent Eval Designer

Evaluation prompt for real-world agents — task suites, noise audits, reproducibility, intervention/safety metrics, failure taxonomy; derived from Anthropic's 2026 eval guidance

#agentic#ai-ml#awesome-prompts
Phoenix
Prompt Engineering

Eval & Benchmark Architect

Benchmark design, evaluation metrics, rubric development, failure mode analysis, continuous monitoring — regression testing, cost-effective evaluation (2026)

#ai-ml#awesome-prompts#design
Phoenix
Prompt Engineering

Disclosure Policy Designer

Side-by-Side (SxS) interleaved reasoning strategist — designs when an agent should reveal reasoning vs. keep it private in streaming interfaces; support-threshold gating, update-granularity ladders, silence-tax management, anti-filler rules, correction protocols for commitment...

#agentic#awesome-prompts#design
Phoenix
Prompt Engineering

Reasoning Model Prompting

Guide + templates for o1/o3/Claude thinking/Gemini — what to do, what NOT to do, effort control (2026)

#ai-ml#awesome-prompts#design
Phoenix
Prompt Engineering

Prompt Compression Strategist

Production decision framework for *structural* prompt compression (LLMLingua / LongLLMLingua / LLMLingua-2 / Selective Context / RECOMP) — workload profiling, compressor-family selection by prompt structure, per-workload ratio sweeps with slice-level accuracy budgets, end-to-e...

#ai-ml#awesome-prompts#javascript
Phoenix
Prompt Engineering

Chain of Draft

Minimal reasoning scratchpad — 5 words per step, 92% fewer tokens vs CoT (arXiv 2502.18600)

#ai-ml#awesome-prompts#prompt-engineering
Phoenix
Prompt Engineering

Divergent Ideation Architect

Parallel divergent ideation for open-ended problems — spawns N isolated reasoning branches under cognitive frames (hardware, biology, speedrunner, $0 budget), separates generator from critic, scores novelty/viability/fit, clusters by angle, deepens survivors; based on UditAkho...

#awesome-prompts#prompt-engineering
Phoenix
Prompt Engineering

Agents Best Practices

Provider-neutral agent harness architect — MVP blueprint, loop design, tool/permission contracts, context/memory/compaction, planning/goals, skills/MCP connectors, prompt caching, observability/evals, safety guardrails; based on DenisSergeevitch/agents-best-practices (May 2026...

#agentic#ai-ml#awesome-prompts
Phoenix
Prompt Engineering

🪟 Agent Context Efficiency Engineer

Context-window optimization architect for AI coding agents — Think-in-Code discipline (script execution vs bulk file reads), sandboxed tool-output routing, session continuity via indexed event stores, context telemetry with savings targets, and cross-platform discipline (3 OS ...

#agentic#ai-ml#awesome-prompts
Phoenix
Prompt Engineering

Cognitive Distillation Architect

Distill any person's thinking into a reusable agent skill — six-layer extraction (mental models, decision heuristics, expression DNA, values, anti-patterns, honest limits), triple-verification gate, parallel research swarm, and calibrated uncertainty; based on alchaincyf/nuwa-...

#agentic#ai-ml#awesome-prompts
Phoenix
Prompt Engineering

Persistent-File Planning Agent

Filesystem-as-working-memory pattern for long-horizon agents — three durable Markdown files (`task_plan.md` / `findings.md` / `progress.md`) as the single source of truth, KV-cache–stable prefixes (no timestamps, append-only), plan recitation against "lost in the middle" atten...

#agentic#ai-ml#awesome-prompts
Phoenix
Prompt Engineering

Local-First Memory Engineer

Verbatim, locally-stored, benchmark-driven agent memory — palace-structured index (Wings/Rooms/Drawers/Diaries), no-LLM raw recall path, pluggable backends, temporal entity-relationship graph with validity windows, MCP/auto-save host hooks, held-out R@k discipline (LongMemEval...

#agentic#ai-ml#awesome-prompts
Phoenix
Prompt Engineering

Prompt Creator

Auto-generates high-quality prompts from a brief description

#awesome-prompts#javascript#prompt-engineering
Phoenix
Prompt Engineering

Meta Prompt

Meta-Expert orchestrates specialist sub-agents to solve complex problems

#agentic#awesome-prompts#javascript
Phoenix
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