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Topic: skills

17,247 skills in this topic.

performance-management Use this skill when designing OKR systems, writing performance reviews, running calibration sessions, creating PIPs, or building career ladders. Triggers on OKRs, performance reviews, calibration, PIPs, career ladders, leveling frameworks, feedback cycles, and any task requiring performance management system design.
AbsolutelySkilled/AbsolutelySkilled 116
pricing-strategy Use this skill when designing pricing models, packaging products into tiers, building freemium funnels, implementing usage-based billing, structuring enterprise pricing, or running price tests. Triggers on pricing pages, monetization strategy, willingness-to-pay research, price sensitivity analysis, free-to-paid conversion, seat-based vs consumption pricing, and A/B testing prices.
AbsolutelySkilled/AbsolutelySkilled 116
product-analytics Use this skill when analyzing product funnels, running cohort analysis, measuring feature adoption, or defining product metrics. Triggers on product analytics, funnel analysis, cohort analysis, feature adoption, north star metric, AARRR, retention curves, and any task requiring product data analysis or metrics design.
AbsolutelySkilled/AbsolutelySkilled 116
product-discovery Use this skill when applying Jobs-to-be-Done, building opportunity solution trees, mapping assumptions, or validating product ideas. Triggers on product discovery, JTBD, jobs-to-be-done, opportunity solution trees, assumption mapping, experiment design, prototype testing, and any task requiring product discovery methodology.
AbsolutelySkilled/AbsolutelySkilled 116
product-strategy Use this skill when defining product vision, building roadmaps, prioritizing features, or choosing frameworks like RICE, ICE, or MoSCoW. Triggers on product vision, roadmapping, prioritization, RICE scoring, product strategy, feature prioritization, OKRs for product, and any task requiring product direction or planning decisions.
AbsolutelySkilled/AbsolutelySkilled 116
project-execution Use this skill when planning, executing, or recovering software projects with a focus on risk management, dependency tracking, and stakeholder communication. Triggers on project planning, risk assessment, dependency mapping, status reporting, milestone tracking, stakeholder updates, escalation decisions, timeline estimation, resource allocation, and project recovery. Covers RAID logs, critical path analysis, and communication cadences.
AbsolutelySkilled/AbsolutelySkilled 116
prompt-engineering Use this skill when crafting LLM prompts, implementing chain-of-thought reasoning, designing few-shot examples, building RAG pipelines, or optimizing prompt performance. Triggers on prompt design, system prompts, few-shot learning, chain-of-thought, prompt chaining, RAG, retrieval-augmented generation, prompt templates, structured output, and any task requiring effective LLM interaction patterns.
AbsolutelySkilled/AbsolutelySkilled 116
react-ink Use this skill when building terminal user interfaces with React Ink - interactive CLI apps, terminal dashboards, progress displays, or keyboard-driven TUI components. Triggers on React Ink, Ink components, terminal UI with React, useInput, useFocus, Box/Text layout, create-ink-app, and any task requiring rich interactive terminal interfaces built with React and Flexbox.
AbsolutelySkilled/AbsolutelySkilled 116
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
tracealyzer Trace execution (into or over calls) for N steps or until a condition, then analyze the recorded instruction log
dariushoule/x64dbg-skills 109
state-snapshot Capture a full debuggee state snapshot (all committed memory regions + processor state) to disk for offline analysis
dariushoule/x64dbg-skills 109
state-diff Compare two state snapshots to identify register and memory changes between two points in time
dariushoule/x64dbg-skills 109
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
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
decompile Decompile a function to C-like pseudocode using angr
dariushoule/x64dbg-skills 109
yara-sigs Scan a state snapshot's memory dumps with YARA signatures to detect packers, crypto constants, malware, and more
dariushoule/x64dbg-skills 109
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
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
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
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
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
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
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
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