Doc Chaser Lite
davila7/claude-code-templates
Free lite skill — drafts one friendly (level-1) client document-request email for a single tax client from a short brief plus the practice profile.
默认分析工作流规范 — 只读多轮分析、代码事实优先、analyze-lite 关联联查与 PCV 收敛验证. An agent skill from devcodex-labs/devcodex.
AGPL-3.0Auto-check passed
Install Analyze Default
$ npx skills add devcodex-labs/devcodex --skill analyze-default -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install devcodex-labs/devcodex analyze-default --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/devcodex-labs/devcodex.git skills-src && mkdir -p .claude/skills && cp -r skills-src/content/skills/analyze-default .claude/skills/analyze-default && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "analyze-default" agent skill from https://github.com/devcodex-labs/devcodex/tree/main/content/skills/analyze-default into .claude/skills/analyze-default/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-default", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/devcodex-labs/devcodex/tree/main/content/skills/analyze-defaultType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add devcodex-labs/devcodex --skill analyze-default -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install devcodex-labs/devcodex analyze-default --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/devcodex-labs/devcodex.git skills-src && mkdir -p .agents/skills && cp -r skills-src/content/skills/analyze-default .agents/skills/analyze-default && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "analyze-default" agent skill from https://github.com/devcodex-labs/devcodex/tree/main/content/skills/analyze-default into .agents/skills/analyze-default/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-default", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add devcodex-labs/devcodex --skill analyze-default -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install devcodex-labs/devcodex analyze-default --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/devcodex-labs/devcodex.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/content/skills/analyze-default .cursor/skills/analyze-default && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "analyze-default" agent skill from https://github.com/devcodex-labs/devcodex/tree/main/content/skills/analyze-default into .cursor/skills/analyze-default/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-default", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/devcodex-labs/devcodex.git --path content/skills/analyze-default--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add devcodex-labs/devcodex --skill analyze-default -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install devcodex-labs/devcodex analyze-default --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/devcodex-labs/devcodex.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/content/skills/analyze-default .gemini/skills/analyze-default && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "analyze-default" agent skill from https://github.com/devcodex-labs/devcodex/tree/main/content/skills/analyze-default into .gemini/skills/analyze-default/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-default", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install devcodex-labs/devcodex analyze-defaultInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add devcodex-labs/devcodex --skill analyze-default -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/devcodex-labs/devcodex.git skills-src && mkdir -p .github/skills && cp -r skills-src/content/skills/analyze-default .github/skills/analyze-default && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "analyze-default" agent skill from https://github.com/devcodex-labs/devcodex/tree/main/content/skills/analyze-default into .github/skills/analyze-default/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-default", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add devcodex-labs/devcodex --skill analyze-default -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install devcodex-labs/devcodex analyze-default --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/devcodex-labs/devcodex.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/content/skills/analyze-default .opencode/skills/analyze-default && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "analyze-default" agent skill from https://github.com/devcodex-labs/devcodex/tree/main/content/skills/analyze-default into .opencode/skills/analyze-default/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-default", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
analyze-default- GitHub stars
- 439
- Token cost
- ~1.6k tokens
- SKILL.md length
- 393 words
- Files
- 2
- Skills in repo
- 70
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
默认分析工作流规范 — 只读多轮分析、代码事实优先、analyze-lite 关联联查与 PCV 收敛验证. An agent skill from devcodex-labs/devcodex.
- Works in 3 steps: 先用关键词、接口路径、类名、方法名或配置名探索真实代码。 → 再与需求、计划或报告中的路径对比。 → 结论标为 按计划实现、架构偏差但功能完整、未实现 或 证据不足。
- SKILL.md covers 定位, 触发条件, 只读边界 and 执行流程, plus 3 more sections
- Calls node and npm
What it does
Analyze Default is an agent skill from devcodex-labs/devcodex. 默认分析工作流规范 — 只读多轮分析、代码事实优先、analyze-lite 关联联查与 PCV 收敛验证
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `intent.json`).
The repository describes itself as: Intent-driven AI coding workflow runtime for consistent context, skills, approvals, validation, and handoffs across six AI coding hosts. The licence is AGPL-3.0.
Example prompts
- “/analyze-default”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- 先用关键词、接口路径、类名、方法名或配置名探索真实代码。
- 再与需求、计划或报告中的路径对比。
- 结论标为 按计划实现、架构偏差但功能完整、未实现 或 证据不足。
What it can do on your machine
Read from SKILL.md and the folder at commit 1dd4525. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
nodenpm
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Analyze Default loads about 1.6k tokens when it runs. Until then it costs about 17 tokens; SKILL.md has 393 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from devcodex-labs/devcodex at commit 1dd4525, republished under its AGPL-3.0 licence (© devcodex-labs). 393 words, ~1,575 tokens.
Download SKILL.mdSave it as
.claude/skills/analyze-default/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- analyze-default
- description
- 默认分析工作流规范 — 只读多轮分析、代码事实优先、analyze-lite 关联联查与 PCV 收敛验证
Analyze Default Skill
定位
analyze-default 承接 analyze.default 的执行细节。instructions/13-analyze.instructions.md 只保留工作流入口、只读底线和路由索引；默认分析的轮次、证据、收敛和输出字段由本 Skill 负责。
触发条件
- 用户要求分析、判断、解释、定位原因、评估是否合理，但当前目标是结论而不是直接改文件。
- 语义初判为
analyze，且不满足analyze.research的技术调研、选型或外部资料优先条件。 - 用户要求“全面审查 / 多维度审查 / review / audit”时不得进入本 Skill，应路由到
audit。
只读边界
- analyze 是项目内容只读工作流，禁止修改源码、规范与配置；只允许写分析报告、记忆，以及经
spec-governance语义分流后必须写入的 active-root 运行态台账。 - 发现必须修改的问题时，只能在结论里建议切换
dev或fix，不得在 analyze 内直接实施。 - 用户先给结论、根因或方案假设时，必须独立取证；核验成立才采纳，并说明证据。
执行流程
| 步骤 | 要求 |
|---|---|
| A1 问题界定 | 写一句话分析目标、边界、输入证据和不分析范围 |
| A1a 规模路由 | broad scan 前调用 skill-gap-analysis 的 ProjectArtifactScaleRoutingGate；先识别项目并形成 ScaleDecisionRecord，再决定 single-pass / batched / sampled+deep-read / blocked |
| A1b 增量与精度 | 当 decision 为 batched / sampled+deep-read，或用户要求增量/逐文件/完整深度时，必须加载 incremental-project-analysis：冻结 depthTier、尝试加载/创建 ProjectKnowledgeSnapshot、按 SelectiveInvalidation 生成本轮 plan；禁止只靠自然语言摘要复用 |
| A2 事实取证 | 先查真实代码、文档、配置或运行证据，再对照计划或用户说法 |
| A3 多轮分析 | 至少 3 轮；连续 2 轮无新发现后才可收敛 |
| A4 analyze-lite CRS | 建立关联文件集合，收敛前反向联查是否遗漏关键消费者 |
| A5 PCV 汇总验证 | 对每条结论执行去重、实证核查、三列验证、分级和推荐结论 |
| A5-ef EvidenceFreshness | 对“已验证 / 推荐 / 可确认 / 完整”等 strong claim 生成或引用 ClaimEvidenceIndexV1 与 StaleEvidenceLintDecisionV1；summary-only 只能导航，不能支撑最终强结论 |
| A5a 治理评估 | 完成结论合理性评估后，对当前中性候选执行 PostAssessmentGovernanceIntakeGate；复合意图逐项落账，record.none 提供 challenge evidence |
| A6 报告输出 | 结论必须包含合理性、可实施性、收益、验证状态和影响范围；non-small 须 Theme+Detail 双产物；确认清单须 CoverageMatrix |
| A6b 分批交付 | 若走 incremental-project-analysis 分批：每 accepted 批输出 BatchProgressCard；全批后 GlobalOptimizationBacklog + 双层 ValidationResult |
证据门禁
CodeTruthFirstGate
当结论依赖代码是否存在、如何实现、路径是否正确或行为是否真实时：
- 先用关键词、接口路径、类名、方法名或配置名探索真实代码。
- 再与需求、计划或报告中的路径对比。
- 结论标为
按计划实现、架构偏差但功能完整、未实现或证据不足。
禁止只对计划文档里的路径执行存在性检查后直接判定未实现。
ControlPlaneAdviceInventoryGate（建议路径 inventory · PI-176 / PF-181 / PF-178 同簇）
当结论是设计建议、分级方案、体系拆分、Gate/复审强度/控制面如何改，或用户问「能否/应该如何」且答案依赖 DevCodex 或当前仓库如何实现 时，在输出推荐矩阵或「最优方案」之前必须：
- 对 source-root（规范仓如
devcodex，非仅 user-global 镜像）做 ExistingCapabilityInventory：既有 Gate 名、Skill Owner、runtime（如selectReviewClass）、探针、相关 PF/PI、文案漂移面。 - 输出最小 inventory 表或等价证据：
reusePoint/currentBehavior/gap/禁平行声明（不得静默发明平行等级名或新 Gate 哲学体系）。 - 仅对话记忆、user-global Skill 镜像或未 inventory 时，禁止写「已验证最优 / 项目已支持 / 可直接按此实施」。
触发面示例：C19/R 档、ECR、复审清单、Hook/CLI/MCP、validate、host projection、规范吸纳。
低风险且与项目实现无关的纯概念解释可写 N/A + skipReason，不得把控制面建议降级为 N/A。
与 expert-output-quality 的 CodeTruthEvidenceMatrixGate / SolutionFitAgainstRepoGate 同向；chat 路径同样适用，不因未进 CP1 而豁免。
ProfileTruthReconciliationGate（targeted）
项目级 analyze 在 A2 事实取证时必须调用 load-profile 的 ProfileTruthReconciliationGate targeted 模式：先把 Profile 声明当作待核对输入，再用当前代码、配置、package、运行证据和正式需求建立 ProfileTruthMatrix。若出现 stale-profile 或 unverifiable，本轮结论必须采用可验证事实并明确可信度；若出现 stale-code-or-doc 或 intentional-exception，必须说明目标态/政策依据和消费者影响。
analyze 只矫正结论，不修改 Profile。需要修订 Profile 时在 upgradeAdvice 指向独立 dev/fix/self-fix。低风险单文件且结论与项目事实无关时可写 N/A + skipReason，不得把普通项目级根因分析降级为 N/A。
AnalyzeLiteCRSGate
每轮分析需要维护关联文件集合：
seedEvidence：用户输入、截图、报告、路径或初始线索。actualSources：本轮实际读取的代码、文档、配置、测试或日志。relatedConsumers：可能消费该事实的 README、website、Profile、prompts、validate、部署副本或运行时。missingSurface：尚未读取但可能影响结论的关联面。
收敛前必须复查 missingSurface，并说明未继续读取的 skipReason。
Show full SKILL.md (159 more words)Show less
ProjectArtifactScaleRoutingGate
项目级 analyze、全库关联联查或用户提示“大目录/文件很多”时必须触发。未形成 ScaleDecisionRecord 前，只允许带排除边界的 bounded inventory；非 single-pass 必须记录 batch budget、checkpoint、timeout/retry 和 invalid-run 排除。抽样深读只能声明“全量 inventory + 代表性深读”，不得宣称逐字全读。
QuestionEvidenceGate
当问题本质是“是否应该 / 哪个更好 / 有没有更好建议 / 推荐什么”时，先判断是否需要 ComparativeResearchGate：
- 涉及高成本、技术路线、外部平台、产品路线或长期维护时，升级
analyze.research或补足对比证据。 - 纯解释、低风险本地事实核验或用户明确要求快速答复时，写
N/A + skipReason。
ReviewFindingIntakeGate
外部审查报告、AI review finding、audit issue 或代码评审发现只能作为线索。每条 finding 必须本地复核，并分类为：
must-fixuser-decision-requireddocs-implementation-drifttest-coverage-gapalready-fixed-or-not-reproducedintentional-design-accepted
不得直接按审查报告文字验证通过；涉及设计如此、兼容策略或产品取舍时，必须记录依据和消费者影响。
GovernanceGateRegistryRef
分析发现规范吸纳、长清单残留、复审遗漏、用户文档、发布门禁、前端缓存或自我进化控制面问题时，不在本 Skill 内复制 Gate 长清单；应引用 spec-governance 的 GovernanceGateRegistry，输出 gateGroup、ownerSkill、trigger、evidence 与 validationRoute。
PCV 收敛验证
| PCV | 动作 |
|---|---|
| PCV-1 | 汇总并去重所有轮次发现 |
| PCV-2 | 对每条结论重新读取对应事实源；运行时数字优先本轮实际执行，不能用记忆历史数字冒充已验证 |
| PCV-2a | MeasuredVerificationStandard：探针/validate/测试结论标 已验证 前必须跑生产入口（如 node scripts/test-spec-governance.js、npm run test:core）；隔离 harness 未复用 createCanonicalAwareReader 与 validate 上下文时只能标非权威实验，不得写成 V# 红/绿 |
| PCV-2b | EvidenceFreshnessGate：最终结论、推荐方案、覆盖声明和外部 finding 采纳声明必须有 fresh evidence refs；若 StaleEvidenceLintDecisionV1.status=WARN/UNVERIFIED/BLOCK，输出降级措辞或转入 audit/dev/fix，不得继续写强结论 |
| PCV-3 | 补齐合理性、可实施性、收益 |
| PCV-4 | 多路径时给出推荐结论和推荐理由；无后续动作时写 推荐：无后续动作 |
| PCV-5 | 标注 已验证 / 待验证 / 排除；用户可见摘要分列命令、exitCode、权威/实验 |
| PCV-6 | 输出过滤后的最终结论，排除项说明原因 |
输出最小字段
| 字段 | 要求 |
|---|---|
analysisTarget | 一句话问题定义 |
scaleDecision | ProjectArtifactScaleRoutingGate、六项规模指标、四态决策、预算/checkpoint；N/A 仅限明确单文件且说明理由 |
rounds | 至少 3 轮，记录每轮新增发现数 |
evidenceMap | 结论到文件、命令或事实源的映射 |
profileTruth | mode、profileTrustState、ProfileTruthMatrix；N/A 时写 skipReason |
pcv | PCV-1~PCV-6 结果 |
evidenceFreshness | ClaimEvidenceIndexV1.indexDigest、StaleEvidenceLintDecisionV1.status/mode、downgrade/rerun 计数；不触发时写 N/A + skipReason=no-strong-claims |
recommendation | 推荐结论、推荐理由或无后续动作 |
upgradeAdvice | 是否建议切换 audit/dev/fix/research，含理由 |
governanceIntake | candidate ID、评估结论、泛化范围、现有规范状态、复合 record intents、target ledgers、write requirement/evidence、verification state 或 none challenge |
coverageMatrix | 大库/多报告确认清单时：FindingThemeCoverageMatrix（source→mapped/residual/EX）；禁止主题合并冒充零遗漏（ABS-17） |
timing | 长分析：SessionTimingCard 或 N/A+skipReason（ABS-18） |
分析交付双产物（ABS-10）
大库或多批分析完成时，除主题优先级清单外，须链接去噪后的 high/medium 明细（或 FindingDetailLedger）；不得用 8 条主题冒充「仅有 8 个问题」。精度档位与宣称边界见 incremental-project-analysis（待建）/ PI-115。
© devcodex-labs, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in content/skills/analyze-default of devcodex-labs/devcodex.
- SKILL.md
- intent.json
Open the folder on GitHubat commit 1dd4525
Compare with similar skills
Analyze Default next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Analyze Default this skilldevcodex-labs/devcodex | 439 | — | ~1.6k | Automated safety check: Pass | AGPL-3.0 | |
| Doc Chaser Litedavila7/claude-code-templates | 32k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Code Simplification for ego-litecitrolabs/ego-lite | 17k | — | ~1.2k | Automated safety check: Pass | MIT | |
| AutoRAG Lite SetupMarker-Inc-Korea/AutoRAG | 5.1k | — | ~3.3k | Automated safety check: Pass | MIT | |
| Nopua Litewuji-labs/nopua | 1.4k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Workflow Lite Executecatlog22/Claude-Code-Workflow | 2.1k | — | ~5.6k | Automated safety check: Notes | MIT |
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Questions about Analyze Default
What does Analyze Default do?
默认分析工作流规范 — 只读多轮分析、代码事实优先、analyze-lite 关联联查与 PCV 收敛验证. An agent skill from devcodex-labs/devcodex. Analyze Default is an agent skill from devcodex-labs/devcodex.
How do I install Analyze Default in Claude Code?
Run `npx skills add devcodex-labs/devcodex --skill analyze-default -a claude-code`. Or copy the skill folder (content/skills/analyze-default in devcodex-labs/devcodex) into .claude/skills/analyze-default in your project. Claude Code loads it when a task matches its description.
How do I install Analyze Default in Codex?
Run `npx skills add devcodex-labs/devcodex --skill analyze-default -a codex`. Or copy the skill folder (content/skills/analyze-default in devcodex-labs/devcodex) into .agents/skills/analyze-default in your project. Codex loads it when a task matches its description.
Can I use Analyze Default in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add devcodex-labs/devcodex --skill analyze-default -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyze-default, .gemini/skills/analyze-default, .github/skills/analyze-default and .opencode/skills/analyze-default in your project.
What does Analyze Default need to run?
Going by SKILL.md and its folder, Analyze Default needs the command-line tools its instructions call (node and npm).
Does Analyze Default access the network?
SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Analyze Default safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Analyze Default use?
Analyze Default is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Analyze Default use?
About 1.6k tokens (SKILL.md is roughly 6.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Analyze Default?
Skills that share tags, products or a category with Analyze Default: Doc Chaser Lite (davila7/claude-code-templates, 32k stars), Code Simplification for ego-lite (citrolabs/ego-lite, 17k stars), AutoRAG Lite Setup (Marker-Inc-Korea/AutoRAG, 5.1k stars) and Nopua Lite (wuji-labs/nopua, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Analyze Default?
devcodex-labs (a GitHub organization) maintains it in devcodex-labs/devcodex, which has 439 GitHub stars. The repository holds 70 skills in this directory. The repository was last updated on September 17, 2026.
Source: devcodex-labs/devcodex on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.