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Async task delegation for AI agents via shared folders—perfect for cross-OS and remote worker coordination.
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1181 skills found
Async task delegation for AI agents via shared folders—perfect for cross-OS and remote worker coordination.
Protects API endpoints from accidental breaking changes by generating contract maps, validation rules, integration tests, documentation, and safe AI coding prompts.
Tail log files, filter by regex patterns, and send Telegram alerts when errors or warnings appear.
A lightweight defensive layer that prunes hallucinations and boosts reasoning quality for 8k-32k context agents.
From feature idea to 10-section engineering-ready PRD — with anti-goals, success metrics, and open questions.
A high-performance ethical guardrail and IP protection layer for safeguarding AI reasoning and core logic.
A professional security triage workflow for mapping attack surfaces and prioritizing DeFi smart contract vulnerabilities.
Monitors SSL cert expiry dates and sends Telegram alerts before they expire. Critical at <7d, warning at <30d.
Receive webhooks and forward them as clean Telegram alerts. One-command setup. Dedup, batching, health checks.
Orchestrate independent reviews, adversarial audits, and multimodal analysis via secondary models and external tools.
Automate Google NotebookLM research workflows, source ingestion, and study material generation via CLI and Python.
Security review of Kandji agent configurations, library items, and automation for compliance and safety
Save a coding agent's full working state to a handoff file before it hits the context limit, then resume in a fresh session without re-explaining everything. Captures the active plan, git branch, uncommitted changes, decisions, blockers, and next steps, so Claude Code or Codex picks up exactly where it stopped instead of starting cold.
Scan your schemas, seed data, config, and logs for personal data before it leaks. Detects PII-indicating column and key names (email, ssn, phone, address) across SQL, CSV, and JSON, plus PII in the data itself: email addresses, SSN-like numbers, credit-card-like numbers, phone numbers, and PII written into log files. Each finding is flagged with its location and a GDPR-style review note. Heuristic by design: it surfaces what to review, not a compliance guarantee.
An adversarial self-review gate that hunts your agent's weakest claim, overclaims, and missing limitations before a human sees the output.
Audit any AI-generated output for unsupported claims, then verify every factual and technical assertion against its real source before it ships.
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.
Generate a complete pull request description from your staged changes, commits, and branch diff: summary, changes, test plan, and checklist, ready for GitHub, GitLab, or Bitbucket. Cross-checks the file list against what git actually reports, so reviewers get the why and what without hallucinated filenames.
Expert Oracle PL/SQL architect for writing, refactoring, and performance-tuning enterprise database logic.
Build structured, tool-agnostic ransomware incident response playbooks tailored to your SOC and organizational context.
Audit, verify, and format academic citations across AMA, APA, and Vancouver styles to eliminate AI hallucinations.
Turns dependency scan reports and security alerts into prioritized remediation plans with severity, exploitability, affected area, safe fix strategy, and verification checklists.
A technical reference and troubleshooting expert for connecting Make.com scenarios to MCP-compatible AI agents.
Generate structured, scored attack trees with AND/OR logic to visualize threat paths and identify security gaps.