Topic: skills
17,247 skills in this topic.
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cypress-testing
Use this skill when writing Cypress e2e or component tests, creating custom commands, intercepting network requests, or integrating Cypress in CI. Triggers on Cypress, cy.get, cy.intercept, cypress component testing, custom commands, fixtures, cypress-cucumber, and any task requiring Cypress test automation.
AbsolutelySkilled/AbsolutelySkilled 116
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compensation-strategy
Use this skill when benchmarking compensation, designing equity plans, building leveling frameworks, or structuring total rewards. Triggers on compensation benchmarking, equity grants, stock options, leveling, pay bands, total rewards, salary ranges, and any task requiring compensation strategy or structure design.
AbsolutelySkilled/AbsolutelySkilled 116
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api-testing
Use this skill when testing REST or GraphQL APIs, implementing contract tests, setting up mock servers, or validating API behavior. Triggers on API testing, Postman, contract testing, Pact, mock servers, MSW, HTTP assertions, response validation, and any task requiring API test automation.
AbsolutelySkilled/AbsolutelySkilled 116
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absolute-marketing
Unified marketing skill for every channel and stage. Use when writing copy, optimizing conversions, planning content strategy, running SEO audits, building email sequences, launching products, setting up paid ads, designing pricing, running A/B tests, crafting brand positioning, or any marketing task. Replaces individual skills for copywriting, SEO, content marketing, email, social media, growth hacking, brand strategy, and CRO.
AbsolutelySkilled/AbsolutelySkilled 116
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backend-engineering
Use this skill when designing backend systems, databases, APIs, or services. Triggers on schema design, database migrations, indexing strategies, distributed systems architecture, microservices, caching, message queues, observability setup, logging, metrics, tracing, SLO/SLI definition, performance optimization, query tuning, security hardening, authentication, authorization, API design (REST, GraphQL, gRPC), rate limiting, pagination, and failure handling patterns. Acts as a senior backend engineering advisor for mid-level engineers leveling up.
AbsolutelySkilled/AbsolutelySkilled 116
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data-quality
Use this skill when implementing data validation, data quality monitoring, data lineage tracking, data contracts, or Great Expectations test suites. Triggers on schema validation, data profiling, freshness checks, row-count anomalies, column drift, expectation suites, contract testing between producers and consumers, lineage graphs, data observability, and any task requiring data integrity enforcement across pipelines.
AbsolutelySkilled/AbsolutelySkilled 116
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absolute-human
AI-native software development lifecycle that replaces traditional SDLC. Triggers on "plan and build", "break this into tasks", "build this feature end-to-end", "sprint plan this", "absolute-human this", or any multi-step development task. Decomposes work into dependency-graphed sub-tasks, executes in parallel waves with TDD verification, and tracks progress on a persistent board. Handles features, refactors, greenfield projects, and migrations.
AbsolutelySkilled/AbsolutelySkilled 116
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bookkeeping-automation
Use this skill when designing chart of accounts, automating reconciliation, managing AP/AR processes, or streamlining month-end close. Triggers on chart of accounts, bank reconciliation, accounts payable, accounts receivable, month-end close, journal entries, accruals, and any task requiring bookkeeping process design or automation.
AbsolutelySkilled/AbsolutelySkilled 116
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find-oep
Smart trace-based OEP finder for packed/protected PE executables. Traces through packer stubs using intelligent stepping, anti-debug evasion, and heuristic OEP detection, then captures a state snapshot at the original entry point.
dariushoule/x64dbg-skills 109
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state-snapshot
Capture a full debuggee state snapshot (all committed memory regions + processor state) to disk for offline analysis
dariushoule/x64dbg-skills 109
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shellcode-analyzer
Load, unpack, and analyze shellcode in x64dbg. Use this skill when the user wants to analyze shellcode, load a shellcode blob into a debugger, unpack encoded/encrypted shellcode, or perform static/dynamic analysis of shellcode payloads.
dariushoule/x64dbg-skills 109
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vuln-hunter
Hunt for vulnerabilities in a running debuggee by analyzing imports/exports, triaging attack surface, and iteratively testing for bugs with PoC generation.
dariushoule/x64dbg-skills 109
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tracealyzer
Trace execution (into or over calls) for N steps or until a condition, then analyze the recorded instruction log
dariushoule/x64dbg-skills 109
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state-diff
Compare two state snapshots to identify register and memory changes between two points in time
dariushoule/x64dbg-skills 109
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yara-sigs
Scan a state snapshot's memory dumps with YARA signatures to detect packers, crypto constants, malware, and more
dariushoule/x64dbg-skills 109
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decompile
Decompile a function to C-like pseudocode using angr
dariushoule/x64dbg-skills 109
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paper-review
Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.zip). Covers 10 disciplines: cs, medicine, physics, chemistry, biology, economics, psychology, environmental_science, mathematics, social_sciences. Use when the user asks to review, evaluate, critique, or assess a research paper, check references, or verify a BibTeX file.
agentscope-ai/OpenJudge 538
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auto-arena
Automatically evaluate and compare multiple AI models or agents without pre-existing test data. Generates test queries from a task description, collects responses from all target endpoints, auto-generates evaluation rubrics, runs pairwise comparisons via a judge model, and produces win-rate rankings with reports and charts. Supports checkpoint resume, incremental endpoint addition, and judge model hot-swap. Use when the user asks to compare, benchmark, or rank multiple models or agents on a custom task, or run an arena-style evaluation.
agentscope-ai/OpenJudge 538
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openjudge
Build custom LLM evaluation pipelines using the OpenJudge framework. Covers selecting and configuring graders (LLM-based, function-based, agentic), running batch evaluations with GradingRunner, combining scores with aggregators, applying evaluation strategies (voting, average), auto-generating graders from data, and analyzing results (pairwise win rates, statistics, validation metrics). Use when the user wants to evaluate LLM outputs, compare multiple models, design scoring criteria, or build an automated evaluation system.
agentscope-ai/OpenJudge 538
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find-skills-combo
Discover and recommend **combinations** of agent skills to complete complex, multi-faceted tasks. Provides two recommendation strategies — **Maximum Quality** (best skill per subtask) and **Minimum Dependencies** (fewest installs). Use this skill whenever the user wants to find skills, asks "how do I do X", "find a skill for X", or describes a task that likely requires multiple capabilities working together. Also use when the user mentions composing workflows, building pipelines, or needs help across several domains at once — even if they only say "find me a skill". This skill supersedes simple single-skill search by decomposing the task into subtasks and assembling an optimal skill portfolio.
agentscope-ai/OpenJudge 538
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claude-authenticity
Detect whether an API endpoint is backed by genuine Claude (not a wrapper, proxy, or impersonator) using 9 weighted rule-based checks that mirror the claude-verify project. Also extracts injected system prompts from providers that override Claude's identity. Fully self-contained — copy the code below and run, no extra packages beyond httpx. Use when the user wants to verify a Claude API key or endpoint, check if a third-party Claude service is authentic, audit API providers for Claude authenticity, test multiple models in parallel, or discover what system prompt a provider has injected.
agentscope-ai/OpenJudge 538
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bib-verify
Verify a BibTeX file for hallucinated or fabricated references by cross-checking every entry against CrossRef, arXiv, and DBLP. Reports each reference as verified, suspect, or not found, with field-level mismatch details (title, authors, year, DOI). Use when the user wants to check a .bib file for fake citations, validate references in a paper, or audit bibliography entries for accuracy.
agentscope-ai/OpenJudge 538
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rl-reward
Build RL reward signals using the OpenJudge framework. Covers choosing between pointwise and pairwise reward strategies based on RL algorithm, task type, and cost; aggregating multi-dimensional pointwise scores into a scalar reward; pairwise tournament reward for GRPO on subjective tasks (net win rate across group rollouts); generating preference pairs for DPO/RLAIF; and normalizing scores for training stability. Use when building reward models, scoring rollouts for GRPO/REINFORCE, generating preference data for DPO, or doing Best-of-N selection.
agentscope-ai/OpenJudge 538
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ref-hallucination-arena
Benchmark LLM reference recommendation capabilities by verifying every cited paper against Crossref, PubMed, arXiv, and DBLP. Measures hallucination rate, per-field accuracy (title/author/year/DOI), discipline breakdown, and year constraint compliance. Supports tool-augmented (ReAct + web search) mode. Use when the user asks to evaluate, benchmark, or compare models on academic reference hallucination, literature recommendation quality, or citation accuracy.
agentscope-ai/OpenJudge 538