PromptShift
by Alvaro
PromptShift is a minimal prompt adapter that preserves intent while improving clarity across AI models.
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THE AGENSI STORE
484 skills found
by Alvaro
PromptShift is a minimal prompt adapter that preserves intent while improving clarity across AI models.
by Shandra
Converts internal SOPs, policies, checklists, and process notes into structured AI-agent workflows with decision trees, escalation rules, QA checkpoints, and audit-ready outputs.
by Shogun Labs
Battle-tested orchestration framework for running 3+ Claude Code agents in parallel. Covers task routing, denbun handoff protocol, exponential-backoff retry, rate-limit guards, structured JSON logging, and automated self-healing — patterns from real production deployments.
by Shippers
Instantly diagnose and fix why your AI agent skills aren't triggering when they should.
by LB Creations
Audit AI agent memory files for privacy risk and bloat.
by Sir Benjamin
A lightweight defensive layer that prunes hallucinations and boosts reasoning quality for 8k-32k context agents.
by LB Creations
Diagnose and fix broken local LLM stacks, GPU issues, and stalled model downloads across Ollama, LM Studio, and more.
An adversarial gate that audits an AI eval or test suite — LLM-judge rubrics, datasets, regression tests, metrics — for gameable criteria, data leakage, missing edge cases, and non-determinism, then returns one PASS/REVISE/FAIL verdict.
by Timoranjes
Maximize AI agent performance with proactive token management, intelligent compaction, and session handoff strategies.
A reusable rubric that grades every source by type, recency, authority, independence, and corroboration, then ranks them and resolves conflicts by evidence weight.
Free collection of 7 agent-ready monitoring tools. Price alerts, cost tracking, repo scanning, uptime checks, and more. Quick-reference guide with one-command install.
by Roy Yuen
Enforce senior-level coding standards (Surgical, Simple, Goal-Driven) on every AI-generated code change.
An adversarial self-review gate that hunts your agent's weakest claim, overclaims, and missing limitations before a human sees the output.
Architect high-fidelity, theologically-grounded AI personas and 'person-use' skills for ministry and biblical study.
by agentzeny
SNAP Private Payments
Analyzes AI agents for performance, reliability, security, and optimization opportunities.
by Ryan lyell
The intelligent installer for MARM, providing cross-agent persistent memory and shared context via MCP.
by LocoLoboZ
A proactive governance layer that validates MCP tool intent and scope to ensure safe, compliant agent behavior.
by LB Creations
Maintain durable, lean, and consistent AI agent memory across sessions while preventing context bloat and data leaks.
Audit, verify, and format academic citations across AMA, APA, and Vancouver styles to eliminate AI hallucinations.
Audits any AI draft for unsupported claims — flags each one, grades its source, and returns a substantiation report.
An adversarial gate that audits a research brief or AI-generated answer for unsupported claims, weak or outdated sources, missing citations, and one-sided framing — returning a structured TRUST/VERIFY/REJECT verdict with the exact passage quoted and what to verify for each.
by GoldBean
120+ paid AI tool endpoints. Pay per use via x402 micropayments on Base (USDC). No API keys, no subscriptions.
by LocoLoboZ
A technical reference and troubleshooting expert for connecting Make.com scenarios to MCP-compatible AI agents.