c2 AI Agent Skills
Browse 175 skills related to c2
legacy-circuit-mockups
Generate breadboard circuit mockups and visual diagrams using HTML5 Canvas drawing techniques. Use when asked to create circuit layouts, visualize electronic component placements, draw breadboard diagrams, mockup 6502 builds, generate retro computer schematics, or design vintage electronics projects. Supports 555 timers, W65C02S microprocessors, 28C256 EEPROMs, W65C22 VIA chips, 7400-series logic gates, LEDs, resistors, capacitors, switches, buttons, crystals, and wires.
security-compliance
Guides security professionals in implementing defense-in-depth security architectures, achieving compliance with industry frameworks (SOC2, ISO27001, GDPR, HIPAA), conducting threat modeling and risk assessments, managing security operations and incident response, and embedding security throughout the SDLC.
security-compliance-compliance-check
You are a compliance expert specializing in regulatory requirements for software systems including GDPR, HIPAA, SOC2, PCI-DSS, and other industry standards. Perform compliance audits and provide implementation guidance.
security-auditor
Expert security auditor specializing in DevSecOps, comprehensive cybersecurity, and compliance frameworks. Masters vulnerability assessment, threat modeling, secure authentication (OAuth2/OIDC), OWASP standards, cloud security, and security automation. Handles DevSecOps integration, compliance (GDPR/HIPAA/SOC2), and incident response. Use PROACTIVELY for security audits, DevSecOps, or compliance implementation.
enter-services
Deploy and manage enter.pollinations.ai text/image services on EC2 and Cloudflare Workers. Requires: SSH keys, sops, wrangler.
token-integration-analyzer
Token integration and implementation analyzer based on Trail of Bits' token integration checklist. Analyzes token implementations for ERC20/ERC721 conformity, checks for 20+ unusual token patterns, assesses contract composition and owner privileges, performs on-chain scarcity analysis, and evaluates how protocols handle non-standard tokens. Context-aware for both token implementations and token integrations.
jb-permit2-metadata
Encode metadata for Juicebox V5 terminal payments using JBMetadataResolver. Covers Permit2 gasless ERC20 payments, 721 hook tier selection, and combining multiple metadata types. Use when seeing AllowanceExpired errors, metadata extraction returns zeros, specifying NFT tiers to mint, or Tenderly shows exists false at getDataFor call.
aws-security-scanner
Scan AWS accounts for security misconfigurations and vulnerabilities. Use when user asks to audit AWS security, check for misconfigurations, find exposed S3 buckets, review IAM policies, check security groups, audit CloudTrail, or run AWS security checks. Covers S3, IAM, EC2, RDS, CloudTrail, and common CIS benchmarks.
aws-infra
Chat-based AWS infrastructure assistance using AWS CLI and console context. Use for querying, auditing, and monitoring AWS resources (EC2, S3, IAM, Lambda, ECS/EKS, RDS, CloudWatch, billing, etc.), and for proposing safe changes with explicit confirmation before any write/destructive action.
jb-patterns
Common Juicebox V5 design patterns for vesting, NFT treasuries, terminal wrappers, yield integration, and governance-minimal configurations. Use when: (1) need treasury vesting without custom contracts, (2) building NFT-gated redemptions, (3) extending revnet functionality via pay wrappers, (4) implementing custom ERC20 tokens, (5) integrating yield protocols like Aave, (6) deciding between native mechanics vs custom code. Covers 11 patterns including terminal wrapper for dynamic pay-time splits, yield-generating hooks for Aave/DeFi integration, and token interception. Golden rule: prefer configuration over custom contracts.
the-ultimate-guide-to-writing-effective-ai-prompts-65c2a3a3
write a simple prompt like “Write an email to [contact] welcoming them to the company,” but you can add more context with a persona in order to get a better r
cryptowallet
Complete cryptocurrency wallet management for Web3, DeFi, and blockchain applications. Create and manage EVM (Ethereum, Polygon, BSC, Arbitrum, Optimism, Base, Avalanche) and Solana wallets with encrypted local storage. Query balances for native tokens (ETH, MATIC, BNB, SOL) and standard tokens (ERC20, SPL). Send transactions, interact with smart contracts, and manage multiple addresses across 12+ networks. Secure password-protected key storage with AES-256 encryption. Use for: (1) Creating new crypto wallets, (2) Importing existing wallets, (3) Checking token balances across chains, (4) Sending cryptocurrency and tokens, (5) Interacting with DeFi protocols and smart contracts, (6) Multi-chain portfolio management, (7) NFT transfers, (8) Blockchain development and testing. Keywords: crypto, cryptocurrency, wallet, blockchain, ethereum, solana, web3, defi, token, erc20, nft, smart contract, metamask alternative, hardware wallet, cold storage, hot wallet, blockchain wallet, digital wallet, bitcoin.
50-viral-gemini-ai-prompts-ready-to-copy-paste-for-4ac228ab
Epic fantasy group portrait in a magical forest, mystical lighting, dynamic poses, remove objects from original photo, using reference faces
evm-wallet-skill
Self-sovereign EVM wallet for AI agents. Use when the user wants to create a crypto wallet, check balances, send ETH or ERC20 tokens, swap tokens, or interact with smart contracts. Supports Base, Ethereum, Polygon, Arbitrum, and Optimism. Private keys stored locally — no cloud custody, no API keys required.
aws-advisor
Expert AWS Cloud Advisor for architecture design, security review, and implementation guidance. Leverages AWS MCP tools for accurate, documentation-backed answers. Use when user asks about AWS architecture, security, service selection, migrations, troubleshooting, or learning AWS. Triggers on AWS, Lambda, S3, EC2, ECS, EKS, DynamoDB, RDS, CloudFormation, CDK, Terraform, Serverless, SAM, IAM, VPC, API Gateway, or any AWS service.
cursor-compliance-audit
Execute compliance and security auditing for Cursor usage. Triggers on "cursor compliance", "cursor audit", "cursor security review", "cursor soc2", "cursor gdpr". Use when analyzing or auditing cursor compliance audit. Trigger with phrases like "cursor compliance audit", "cursor audit", "cursor".
assisting-with-soc2-audit-preparation
This skill assists with SOC2 audit preparation by automating tasks related to evidence gathering and documentation. It leverages the soc2-audit-helper plugin to generate reports, identify potential compliance gaps, and suggest remediation steps. Use this skill when the user requests help with "SOC2 audit", "compliance check", "security controls", "audit preparation", or "evidence gathering" related to SOC2. It streamlines the initial stages of SOC2 compliance, focusing on automated data collection and preliminary analysis.
soc2-compliance-checker
Soc2 Compliance Checker - Auto-activating skill for Security Advanced. Triggers on: soc2 compliance checker, soc2 compliance checker Part of the Security Advanced skill category.
ec2
AWS EC2 virtual machine management for instances, AMIs, and networking. Use when launching instances, configuring security groups, managing key pairs, troubleshooting connectivity, or automating instance lifecycle.
clanker
Deploy ERC20 tokens on Base, Ethereum, Arbitrum, and other EVM chains using the Clanker SDK. Use when the user wants to deploy a new token, create a memecoin, set up token vesting, configure airdrops, manage token rewards, claim LP fees, or update token metadata. Supports V4 deployment with vaults, airdrops, dev buys, custom market caps, vanity addresses, and multi-chain deployment.
deep-analysis
Performs focused, depth-first investigation of specific reverse engineering questions through iterative analysis and database improvement. Answers questions like "What does this function do?", "Does this use crypto?", "What's the C2 address?", "Fix types in this function". Makes incremental improvements (renaming, retyping, commenting) to aid understanding. Returns evidence-based answers with new investigation threads. Use after binary-triage for investigating specific suspicious areas or when user asks focused questions about binary behavior.
aws-troubleshoot
AWS service troubleshooting patterns. Use for EC2, ECS, Lambda, CloudWatch, RDS issues.
aws-ami-builder
Build Amazon Machine Images (AMIs) with Packer using the amazon-ebs builder. Use when creating custom AMIs for EC2 instances.
soc2-compliance-automator
SOC 2 Trust Services Criteria compliance automation for evidence collection, control mapping, and audit preparation
security-compliance
Guides security professionals in implementing defense-in-depth security architectures, achieving compliance with industry frameworks (SOC2, ISO27001, GDPR, HIPAA), conducting threat modeling and risk assessments, managing security operations and incident response, and embedding security throughout the SDLC.
bio-microbiome-differential-abundance
Differential abundance testing for microbiome data using compositionally-aware methods like ALDEx2, ANCOM-BC2, and MaAsLin2. Use when identifying taxa that differ between experimental groups while accounting for the compositional nature of microbiome data.
schema-normalizer
Normalize cross-skill JSONL interfaces (ids + titles + citation key formats) so downstream skills do not rely on best-effort joins. **Trigger**: schema normalize, jsonl contract, interface drift, join drift, 字段不一致, schema 规范化. **Use when**: you have generated C2-C4 JSONL artifacts (outline/briefs/bindings/packs/anchors) and want deterministic, stable fields before self-loops/writing. **Skip if**: you are not using the survey pipelines, or the workspace already has a fresh PASS `output/SCHEMA_NORMALIZATION_REPORT.md` for the current artifacts. **Network**: none. **Guardrail**: NO PROSE; deterministic transforms only; do not invent evidence/claims; only fill missing ids/titles from `outline/outline.yml`.
citation-diversifier
Raise citation diversity/density (NO NEW FACTS): generate an in-scope “citation budget” plan per H3 so drafts stop failing the global unique-citation gate and stop looking under-cited. **Trigger**: cite boost, citation budget, unique citations too low, add more citations, improve reference density, 引用太少, 增加引用, 引用密度. **Use when**: `pipeline-auditor` FAILs due to low unique citations, or you want to increase cite density without changing claims. **Skip if**: you need new papers (fix C1/C2 mapping first), or `citations/ref.bib` / `outline/writer_context_packs.jsonl` is missing. **Network**: none. **Guardrail**: NO NEW FACTS; do not invent citations; only use keys already present in `citations/ref.bib`; keep citations within each H3’s allowed scope (`outline/writer_context_packs.jsonl` / `outline/evidence_bindings.jsonl`).
prose-writer
Write `output/DRAFT.md` (or `output/SNAPSHOT.md`) from an approved outline and evidence packs, using only verified citation keys from `citations/ref.bib`. **Trigger**: write draft, prose writer, snapshot, survey writing, 写综述, 生成草稿, section-by-section drafting. **Use when**: structure is approved (`DECISIONS.md` has `Approve C2`) and evidence packs exist (`outline/subsection_briefs.jsonl`, `outline/evidence_drafts.jsonl`). **Skip if**: approvals are missing, or evidence packs are incomplete / scaffolded (missing-fields, TODO markers). **Network**: none. **Guardrail**: do not invent facts or citations; only cite keys present in `citations/ref.bib`; avoid pipeline-jargon leakage in final prose.
tutorial-module-writer
Write the tutorial content (`output/TUTORIAL.md`) from an approved module plan, including exercises and answer outlines. **Trigger**: write tutorial, tutorial modules, 教程写作, TUTORIAL.md. **Use when**: tutorial pipeline 的写作阶段(C3),且 `DECISIONS.md` 已记录 HUMAN 对 scope/running example 的批准(C2)。 **Skip if**: module plan 未完成/未批准(先跑 `module-planner`/`exercise-builder` 并通过 Approve C2)。 **Network**: none. **Guardrail**: 只写已批准范围;保持 running example 一致;每模块包含练习与答案要点。
section-mapper
Map papers from the core set to each outline subsection and write `outline/mapping.tsv` with coverage tracking. **Trigger**: section mapper, mapping.tsv, coverage, paper-to-section mapping, 论文映射, 覆盖率. **Use when**: structure 阶段(C2),已有 `papers/core_set.csv` + `outline/outline.yml`,需要确保每小节有足够支持论文再进入 evidence/writing。 **Skip if**: 还没有 outline(先跑 `outline-builder`)或 core set 还没收敛。 **Network**: none. **Guardrail**: 覆盖率可审计(避免所有小节重复用同几篇);为弱覆盖小节留下明确补救方向(扩 query / 合并小节)。
concept-graph
Build a concept graph (nodes + prerequisite edges) from a tutorial spec, saving as `outline/concept_graph.yml`. **Trigger**: concept graph, prerequisite graph, dependency graph, 概念图, 先修关系. **Use when**: tutorial pipeline 的结构阶段(C2),需要把教程知识点拆成可排序的依赖图(在写教程 prose 前)。 **Skip if**: 还没有 tutorial spec(例如缺少 `output/TUTORIAL_SPEC.md`)。 **Network**: none. **Guardrail**: 只做结构;避免写长 prose 段落。
module-planner
Plan tutorial modules from a concept graph, including module objectives and sequencing, saving as `outline/module_plan.yml`. **Trigger**: module plan, tutorial modules, course outline, 模块规划, module_plan.yml. **Use when**: tutorial pipeline 的结构阶段(C2),已有 `outline/concept_graph.yml`,需要把概念依赖转成可教学的模块序列。 **Skip if**: 还没有 concept graph(先跑 `concept-graph`)。 **Network**: none. **Guardrail**: 每模块明确 objectives + outputs(最好含 running example 步骤);避免 prose 段落。
screening-manager
Manage title/abstract screening and record decisions into `papers/screening_log.csv` according to an approved protocol. **Trigger**: screening, title/abstract screening, inclusion/exclusion, screening_log.csv, 文献筛选, 纳入排除. **Use when**: systematic review 的 screening 阶段(C2),protocol 已锁定并通过 HUMAN 审批。 **Skip if**: 还没有 `output/PROTOCOL.md`(或 protocol 未通过签字)。 **Network**: none. **Guardrail**: 每条记录包含决策与理由;保持可审计(不要把“未读/不确定”当作纳入)。
citation-injector
Apply a `citation-diversifier` budget report by injecting *in-scope* citations into an existing draft (NO NEW FACTS), so the run passes the global unique-citation gate without citation dumps. **Trigger**: citation injector, apply citation budget, inject citations, add citations safely, 引用注入, 按预算加引用, 引用增密. **Use when**: `output/CITATION_BUDGET_REPORT.md` exists and you need to raise *global* unique citations (or reduce over-reuse) before `draft-polisher` / `pipeline-auditor`. **Skip if**: you need more papers/citations upstream (fix C1/C2 mapping first), or `citations/ref.bib` is missing. **Network**: none. **Guardrail**: NO NEW FACTS; do not invent citations; only inject keys present in `citations/ref.bib`; keep injected citations within each H3’s allowed scope (via the budget report); avoid citation-dump paragraphs (embed cites per work).
limitation-weaver
Rewrite limitation passages so the paper keeps limitations without falling into count-based slot phrases (e.g., \"Two limitations…\") across many H3s. **Trigger**: limitation weaver, rewrite limitations, remove two limitations, 去Two limitations, 局限改写, caveat rewrite. **Use when**: `writer-selfloop` is PASS but flags repeated count-based limitation openers in `output/WRITER_SELFLOOP_TODO.md`, or multiple H3s share the same limitation cadence. **Skip if**: the limitation is evidence-missing (route upstream), or you are pre-C2 (NO PROSE). **Network**: none. **Guardrail**: do not invent facts; do not add/remove/move citation keys; do not delete subsection-specific limitations; keep claim→evidence anchoring intact.
front-matter-writer
Write the survey\x27s front matter files (Abstract, Introduction, Related Work, Discussion, Conclusion) in paper voice, with high citation density and a single evidence-policy paragraph. **Trigger**: front matter writer, introduction writer, related work writer, abstract writer, discussion writer, conclusion writer, 引言, 相关工作, 摘要, 讨论, 结论. **Use when**: you are in C5 (prose allowed) and need the paper-like \"shell\" to stop the draft reading like stitched subsections. **Skip if**: `Approve C2` is missing in `DECISIONS.md`, or `citations/ref.bib` is missing (generate citations first). **Network**: none. **Guardrail**: no pipeline jargon in final prose; no repeated evidence disclaimers; do not invent facts/citations; only use keys present in `citations/ref.bib`.
subsection-writer
Write survey prose into per-section files under `sections/` so each unit can be QA\x27d independently before merging. **Trigger**: subsection writer, per-section writing, split sections, sections/, 分小节写, 按章节拆分写作. **Use when**: `Approve C2` is recorded and writer packs exist (`outline/writer_context_packs.jsonl`); you want evidence-bounded drafting without a monolithic one-shot draft. **Skip if**: `DECISIONS.md` approval is missing, or `outline/evidence_drafts.jsonl` / `citations/ref.bib` is missing. **Network**: none. **Guardrail**: do not invent facts/citations; no TODO/ellipsis leakage; keep citations subsection- or chapter-scoped; H3 body files and chapter leads must not contain headings.
argument-selfloop
Argument self-loop: maintain an argument ledger + premise consistency report for drafted sections. **Trigger**: argument self-loop, argument chain, premise consistency, section self-check, paragraph contract, 论证自循环, 论证链路, 前提一致性, 段落论证动作. **Use when**: you are in C5 (PROSE allowed), `sections/*.md` exist, and you want to prevent “smooth but hollow” writing by enforcing argument moves + premise hygiene before merge. **Skip if**: you are pre-C2 (NO PROSE), or evidence packs are scaffolded/thin (route upstream to `evidence-selfloop` first). **Network**: none. **Guardrail**: do not invent facts; do not add/remove/move citation keys; do not move citations across subsections; the argument ledger is an intermediate artifact and must never be inserted into the paper.
style-harmonizer
De-slot and harmonize paper voice across `sections/*.md` without changing meaning or citation keys. **Trigger**: style harmonizer, de-template stems, remove slot phrases, discourse stems, 写作风格统一, 去槽位句式, 去生成器味. **Use when**: `writer-selfloop` is PASS but `output/WRITER_SELFLOOP_TODO.md` flags Style Smells (e.g., repeated count-based openers), or the draft reads like many sections share the same rhythm. **Skip if**: you need new evidence/citations (route to C3/C4), or you are pre-C2 (NO PROSE). **Network**: none. **Guardrail**: do not invent facts; do not add/remove/move citation keys; do not move citations across subsections; keep claim->evidence anchoring intact.
opener-variator
Rewrite subsection openers so they stop reading like a generated table-of-contents: remove \"overview/narration\" stems and reduce repeated opener cadences across H3s. **Trigger**: opener variator, opener rewrite, rewrite openers, overview opener, 开头改写, 小节开头, 去overview, 去旁白. **Use when**: `writer-selfloop` is PASS but flags repeated opener stems / overview narration in `output/WRITER_SELFLOOP_TODO.md`, or the draft still has a subtle “generator cadence”. **Skip if**: you are pre-C2 (NO PROSE), or the section is evidence-thin (route upstream; don’t stylize filler). **Network**: none. **Guardrail**: do not invent facts; do not add/remove/move citation keys; do not move citations across subsections; keep meaning intact.
evaluation-anchor-checker
Audit and rewrite evaluation/numeric claims to ensure they carry minimal protocol context (task + metric + constraint) and avoid underspecified model naming. **Trigger**: evaluation anchor checker, numeric claim hygiene, underspecified numbers, protocol context, 评测锚点检查, 数字断言, 指标上下文. **Use when**: before final merge/polish, or when reviewers would likely flag claims as underspecified (numbers without task/metric/budget), or `pipeline-auditor` warns about suspicious model naming. **Skip if**: evidence is too thin to justify numeric claims (route upstream to C3/C4), or you are pre-C2 (NO PROSE). **Network**: none. **Guardrail**: do not invent numbers; do not add/remove/move citation keys; if protocol context is missing, weaken/remove the numeric claim rather than guessing.
writer-selfloop
Writing self-loop for surveys: run the strict section-quality gate, then rewrite only the failing `sections/*.md` files until the report is PASS. **Trigger**: writer self-loop, writing loop, quality gate loop, rewrite failing sections, 自循环, 反复改到 PASS. **Use when**: per-section files exist but C5 is FAIL/BLOCKED (thin sections, missing leads/front matter, citation-scope violations, generator voice). **Skip if**: you are still pre-C2 (NO PROSE), or evidence packs are incomplete (fix C3/C4 first). **Network**: none. **Guardrail**: do not invent facts; only use citation keys present in `citations/ref.bib`; keep citations in-scope per `outline/evidence_bindings.jsonl`; do not add/remove citation keys during rewrites.
subsection-polisher
Polish a single H3 unit file under `sections/` into survey-grade prose (de-template + contrast/eval/limitation), without changing citation keys. **Trigger**: subsection polisher, per-subsection polish, polish section file, 小节润色, 去模板, 结构化段落. **Use when**: `sections/S*.md` exists but reads rigid/template-y; you want to fix quality locally before `section-merger`. **Skip if**: subsection files are missing, evidence packs are incomplete, or `Approve C2` is not recorded. **Network**: none. **Guardrail**: do not invent facts/citations; do not add/remove citation keys; keep citations within the same H3; keep citations subsection-scoped.
grad-paragraph
Write one survey-quality paragraph from evidence packs (tension → contrast → evaluation anchor → limitation). **Trigger**: grad paragraph, paragraph micro-structure, argument paragraph, 研究生段落, 论证段落, 对比段, 段落写作. **Use when**: you are drafting `sections/S*.md` (H3 body) and want subsection-specific, evidence-bounded prose instead of templates. **Skip if**: evidence packs are missing/incomplete (fix `subsection-briefs`/`evidence-draft`/`evidence-binder` first), or `Approve C2` is not recorded in `DECISIONS.md`. **Network**: none. **Guardrail**: do not invent facts or citations; no placeholders/ellipsis; keep claims conservative when evidence is abstract-level (avoid repeating evidence-mode boilerplate in every paragraph).
compliance-testing
Regulatory compliance testing for GDPR, CCPA, HIPAA, SOC2, PCI-DSS and industry-specific regulations. Use when ensuring legal compliance, preparing for audits, or handling sensitive data.
QE Security Compliance
Security auditing, vulnerability scanning, and compliance validation for OWASP, SOC2, GDPR, and other standards.
qe-compliance-testing
Regulatory compliance testing for GDPR, CCPA, HIPAA, SOC2, PCI-DSS and industry-specific regulations. Use when ensuring legal compliance, preparing for audits, or handling sensitive data.