Technical Spec Writer
Write a technical spec that lets reviewers find the flaw before the code does — with data models, edge cases, and failure modes explicit.
Ship agent workflows in 30 seconds. Browse 2,000+ expert-built and security scanned skill -> Browse skills
THE AGENSI STORE
610 skills found
Write a technical spec that lets reviewers find the flaw before the code does — with data models, edge cases, and failure modes explicit.
by Nex AI
Stelt een concept-materialenpaspoort en hergebruikinventaris op voor een gebouw of project: materialen, demonteerbaarheid, hergebruikwaarde en oogstkaart bij sloop of renovatie.
Scaffold a secure, spec-compliant MCP server from a description of the tools you want to expose. Sets up the official SDK (TypeScript or Python/FastMCP), defines tools/resources/prompts with strict JSON Schema, wires the right transport (stdio or Streamable HTTP), adds OAuth 2.1 for remote, and hardens against the MCP-specific footguns — prompt injection via tool output, token passthrough, over-broad scopes, command/path/SSRF injection, leaked secrets — before it ships. Returns a runnable skeleton plus a security checklist. Built by someone who's shipped production MCP servers.
Generate a spec-compliant llms.txt (and optional llms-full.txt) for your site or repo so AI agents and crawlers can navigate it. Curates the pages that matter, writes the exact llmstxt.org structure — single H1, blockquote summary, and link sections in the precise format agents parse — then validates the format and tells you where to put it. The honest version: a low-cost, machine-readable surface for the agentic web, not an overhyped SEO trick.
by Shandra
Improves Chinese web research with Mandarin search queries, Baidu-style research plans, Chinese source maps, compliant extraction strategies, translation-aware summaries, credibility scoring, and structured evidence reports.
by SkillForge
Architect production-grade multi-agent systems with explicit contracts, idempotency, and self-healing reliability.
A DevSecOps engineer that stands up and tunes static analysis (Semgrep, SonarQube, CodeQL) for high-signal findings — picks the right tool for the stack, writes the config and rulesets, wires a sane CI gate, and tunes out the false positives that get scanners muted.
by Timoranjes
Generate production-ready, secure CI/CD pipelines for GitHub Actions, GitLab CI, and CircleCI across any tech stack.
Design and write the eval suite for your LLM-powered feature — the metrics that match your failure modes, a golden dataset plan with starter cases, anchored rubrics, LLM-as-judge prompts with the known bias mitigations, and pass/fail gates wired for CI.
by Timoranjes
Teaches AI coding agents to generate production-quality Playwright end-to-end tests from page analysis, user stories, or existing code. Covers selector strategy, test structure patterns, flakiness prevention, and CI integration — for QA engineers and solo devs tired of AI-generated tests that break on first run.
Create a structured, portable operating manual to align AI behavior with your specific professional working style.
Write the delegation brief that lets a background or async agent succeed unattended — precise goal, hard constraints, testable acceptance criteria, a verification plan, and stop-and-escalate rules. Turns "go fix the flaky tests" into a spec an agent can actually execute.
by Shandra
Tests AI agents, prompts, and agent skills against edge cases, unsafe behavior, output failures, permission risks, escalation gaps, memory leaks, and marketplace-quality weaknesses.
Turn timeline fragments, Slack logs, and pager history into a complete blameless postmortem — impact summary, clean timeline, contributing factors instead of a scapegoat, action items with owners and due dates, and lessons that survive the week.
Create a system of six reusable, field-specific prompt patterns to ensure consistent AI outputs.
Design the right team of specialized AI subagents for your project and get the definition files written properly — precise delegation triggers, focused system prompts, least-privilege tools, and the right model tier for each job. Includes a template, orchestration patterns, and a complete sample team.
by Timoranjes
Transform your AI agent from a code generator into a senior architect that enforces clean design and SOLID principles.
by Roy Yuen
Build, manage, and debug Docker containers and Compose stacks with specialized project workflows.
Model what your LLM app or agent will cost, find where the money goes, and get a plan to cut it. Per-request and monthly projections, ranked cost drivers, an optimization plan with estimated savings, and unit economics against your pricing — with the arithmetic shown.
Turn an error, stack trace, and logs into a structured root-cause diagnosis — reconstructed failure, ranked hypotheses with evidence, the most likely cause, and the cheapest next diagnostic or fix. The disciplined pass a senior engineer runs, instead of scattershot guess-and-check.
Before you point a bot or AI agent at X (Twitter), audit it against the platform's rules. Classifies each action as safe, risky, or likely-to-get-you-suspended, names the rule it hits, and rewrites the dangerous parts into a compliant, account-safe version. For keeping your own account safe — not for spam or evasion.
by Echo Rose
Chainlink Data Feeds - A Premium AI Agent Skill
Review an AI-generated code diff for the failure modes coding agents actually have — claimed-done-but-not-done, gamed or weakened tests, stubs passed off as complete, silent scope creep, hallucinated APIs, and security regressions. Returns an APPROVE or REQUEST CHANGES verdict with a completion check and severity-ranked fixes.
by Echo Rose
Blockchain Analytics Platform - A Premium AI Agent Skill