308건 · 관련도순
Execute lateral movement within Active Directory environments using credential material (NTLM hashes and Kerberos tickets) instead of plaintext passwords. Use this skill when engaging in red team operations or internal network penetration tests to expand access, bypass authentication portals, and achieve Domain Dominance without relying on crackable passwords.
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Explore a feature or CLI, reproduce defects and record bounded findings. Use for "explore X", "find issues with X", or the exploration stage of feature- pipeline; standalone runs return findings without automatically expanding scope.
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Expands one indicator into the full scope of an incident: pivoting across data sources to find related hosts, accounts, and infrastructure, building a timeline, and bounding what is and is not affected. Activates for requests to scope an incident, pivot from a single IOC, or determine the blast radius of a detection.
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从现有 role-* Skills 动态发现所有任务场景，为每个场景生成包含「认知根 D0 节点」和「认知反馈节点」的完整大闭环沙盘文件（status: draft），供 skill-closure-verifier-meta 做 Phase 2 验证。⚠️ 与 skill-sandbox-expander 的区别：后者从已有域的缺口扩充；本 Skill 从零发现所有场景，生成覆盖全体系的初始沙盘库。触发词：「场景沙盘生成」「为当前体系生成场景沙盘」「发现所有任务场景并建沙盘」「场景化沙盘覆盖」「从零建沙盘库」。
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沙盘库系统化扩充 Skill。识别各域沙盘覆盖缺口，建议优先场景（优先级：缺失类型>跨域>边界>变体），严格两阶段生成（Phase 1 禁止读 SKILL.md → Phase 2 对照验证），将 status="draft" 补全为 "validated" 或 "gap-found"，持续推进 100 沙盘目标。触发词：「扩充沙盘」「增加沙盘」「写更多沙盘」「沙盘库不够」「填充沙盘覆盖缺口」「把[域名]域的沙盘补到N个」「沙盘数量太少」「补全draft沙盘」「把草稿沙盘补完」「把所有草稿补完」「把draft补成完整版」。
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Prove existing work meets acceptance conditions without expanding scope. Use for validation-only tasks, completion checks, focused gate runs, and last-mile proof.
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Define the scope, success criteria, roles, and boundaries for a consulting engagement. Use when a consultant says "help me scope this engagement", "I need to define what's in and out", "the client keeps adding things", "scope is getting fuzzy", "we need a contracting conversation", "I'm not sure what we actually agreed to", "help me set boundaries with a client", or "what should be in a kickoff". Also trigger when describing an engagement that feels like it is expanding without agreement, or when starting a new client relationship and preparing the initial contract or SOW.
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CEO/founder-mode plan review. Rethink the problem, find the 10-star product, challenge premises, expand scope when it creates a better product. Three modes: SCOPE EXPANSION (dream big), HOLD SCOPE (maximum rigor), SCOPE REDUCTION (strip to essentials).
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The intelligence layer of WinDAGs. Decomposes natural language tasks into Hierarchical Task DAGs (HTDAGs), matches subtasks to skills, executes waves in parallel, and dynamically expands nodes when complexity exceeds executor capability. Use for 'orchestrate', 'execute DAG', 'parallel agents', 'decompose task', 'coordinate skills'. NOT for single-skill tasks or simple linear workflows.
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Model gene-family birth-death dynamics across a species tree using CAFE5 (Mendes et al 2020 Bioinformatics 36:5516 gamma-distributed rate categories), CAFE5-error (annotation-error-aware), Count (Csurös 2010 ancestral state reconstruction), BadiRate (Librado 2012 likelihood + parsimony), DupliPHY-Family, and ALE/AleRax (for per-family DTL; see [[gene-tree-species-tree-reconciliation]]). Test lineage-specific gene-family expansions and contractions, distinguish biological dynamics from annotation artifacts, account for assembly fragmentation, identify functional enrichment in expanded / contracted families. Use when correlating gene-family changes with phenotype evolution, ranking lineages by adaptive gene-family-rate shifts, post-WGD dosage-balance analysis, or building Birth-death models from OrthoFinder presence/absence matrices.
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CEO/founder-mode plan review: rethink the problem, find the 10x product, challenge premises, expand scope. Four modes, dream-big to strip-to-essentials. Use to rethink ambition or scope.
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Alembic migration patterns for naming conventions, safety checks, expand-contract, env.py configuration, and CI integration
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The original reddapi.dev Reddit search skill (vector search, semantic search, trends, subreddit discovery), no Reddit OAuth or app registration needed. This is the same engine now packaged as reddit-research with added market-research playbooks and a fuller pitch on semantic vs keyword search; reddapi is kept live under its original name for existing installs and works standalone. Use when the user says 'reddapi' by name, or wants a minimal drop-in Reddit search skill without the extra research-workflow guidance. For the expanded research-oriented version with query playbooks, see reddit-research. For B2B lead scoring, see reddit-leads. For a bare API reference, see reddit-search-api.
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Keep a small requested change focused when optional refactors, architectural redesign, or unrelated cleanup threaten to expand its scope.
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Use when a live-action beat becomes the 11-block cinematic prompt — lens, lighting, negatives. Triggers 'cinematic prompt', 'film-grade scene'. Animated → pixar-storyteller; 12-block → scene-expander.
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Design relational database schemas (and choose when to go NoSQL) that stay maintainable and fast. Use this skill whenever the user mentions tables, DDL, entities and relationships, normalization (1NF/2NF/3NF), primary and foreign keys, UUID vs bigint IDs, indexes (B-tree, composite, covering, partial), EXPLAIN, constraints (CHECK, UNIQUE, exclusion), transactions and isolation levels, migrations (Alembic, Prisma, Flyway, expand-contract, backfilling), or SQL vs NoSQL (MongoDB, DynamoDB, Cassandra, graph databases). Also trigger for "design the database", "model this domain", "which database should I use", or writing ORM models and migration files for PostgreSQL, MySQL, SQLite, or SQL Server.
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Mine a codebase for breakthrough, evidence-backed opportunities — features, additions, refactors, simplifications, DX, UX, reliability, performance, or architecture cleanup. Researches project reality first, then forces two escalation gates (reject the merely-adequate idea; expand ambition 10x then collapse to the smallest proof-bearing artifact). Outputs ranked opportunities, an escalation ledger, and one plan seed. Does not implement or create tickets.
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Load this skill whenever the project includes print stylesheets, print media queries (@media print), or any content intended for physical printing. Under no circumstances omit print CSS that ensures readable, accessible printed output. Absolutely always hide decorative elements, expand link URLs, and maintain sufficient contrast and font sizing in print styles.
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International market expansion strategy. Market selection, entry modes, localization, regulatory compliance, and go-to-market by region. Use when expanding to new countries, evaluating international markets, planning localization, or building regional teams.
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Use when scheduling and executing review sessions at scientifically-calibrated expanding intervals for long-term retention.
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Deep research workflow that starts from a GitHub repo URL/slug, pulls upstream intel, then expands to Reddit + open web for community reception. Use whenever Ahmad gives a GitHub link and asks to understand it, see updates, audit the community, or compose a report. Trigger phrases include "research this repo", "report on this github", "what's happening upstream", "community reception", "compose a report on <repo>", and any message that contains a github.com URL plus a research/report ask.
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Detects and prevents code injection attacks targeting serverless functions (AWS Lambda, Azure Functions, Google Cloud Functions) through event source poisoning, malicious layer injection, runtime command execution, and IAM privilege escalation via function modification. The analyst combines static analysis of function code, CloudTrail event correlation, runtime behavior monitoring, and IAM policy auditing to identify injection vectors across the expanded serverless attack surface including API Gateway, S3, SQS, DynamoDB Streams, and CloudWatch event triggers. Activates for requests involving Lambda security assessment, serverless injection detection, function event poisoning analysis, or serverless privilege escalation investigation.
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Delegate work over a shared task chat: a task is assigned by a short code phrase, and the assignee's agent expands it into a full seed and starts immediately, with state tracking so no delegated task dies silently. Triggers: "/task", "task <ID>", "my delegated tasks", "delegate <task> to <person>".
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Create a look-alike audience from a seed audience and a candidate population dataset. Classifies Rosetta Stone attributes, generates the same materialized-view scoring pipeline Lookalike Studio emits (Naive-Bayes categorical weights + Gaussian continuous similarity), gates on approval, submits via `narrative_workflows_create`, and monitors the build to completion. Use when: "create a lookalike audience", "find more users like this segment", "expand my seed audience to 500k similar users", "score the population against my customers", "build a look-alike of dataset X". (narrative-audience)
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