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研究检索external-servicegithub未标认证来源可访问许可证需确认审计通过

unblockunblock 搜索

Agent Skill

unblock 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

261

周安装

11

GitHub Stars

3

下载量

92
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:unblock(unblock 搜索)
来源仓库:https://github.com/unblocked/skills
仓库路径:skills/unblock
安装命令:
npx skills add https://github.com/unblocked/skills --skill unblock
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/unblocked/skills --skill unblock

简介

用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装使用。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • unblock 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Unblocked Dev Workflow

Every coding task follows a strict loop. No code is written until the plan has been reviewed by Unblocked, and no code is considered done until it has been verified against context. This catches problems at both ends — before code is written and after.

┌──────────────────────────────────────────────────────────────┐
│                                                              │
│  1. HYDRATE        (Unblocked)                               │
│     │              Query context from connected data         |
|     |              sources like PRs, Slack,                  │
│     │              Jira, docs, code history                  │
│     ▼                                                        │
│  2. DRAFT PLAN     (Agent)                                   │
│     │              Design implementation using               │
│     │              hydrated context                          │
│     ▼                                                        │
│  3. REVIEW PLAN    (Unblocked)                      ◄──┐     │
│     │              Critically evaluate the plan        │     │
│     │              against org knowledge               │     │
│     ▼                                                  │     │
│  4. REVISE PLAN    (Agent)                             │     │
│     │              Incorporate feedback                │     │
│     │              [Major issues] ─────────────────────┘     │
│     │              [Minor/none]                              │
│     ▼                                                        │
│  5. GENERATE CODE  (Agent)                                   │
│     │              Implement the validated plan              │
│     ▼                                                        │
│  6. REVIEW CODE    (Unblocked)                      ◄──┐     │
│     │              Verify generated code against       │     │
│     │              context, patterns, conventions      │     │
│     ▼                                                  │     │
│  7. REVISE CODE    (Agent)                             │     │
│     │              Fix issues found in review          │     │
│     │              [Issues found] ─────────────────────┘     │
│     │              [Pass]                                    │
│     ▼                                                        │
│     DONE                                                     │
│                                                              │
└──────────────────────────────────────────────────────────────┘

Labels: (Unblocked) = query Unblocked MCP tools; (Agent) = the AI coding agent executes this phase.

Both review gates are mandatory. The plan review prevents writing wrong code. The code review catches what slipped through — pattern mismatches, missed conventions, and gaps between what was planned and what was generated.

Principles

  • Multiple specific queries > one broad query. Ask 3-4 focused questions, not one vague one.
  • Two review gates, not one. The plan review prevents writing wrong code. The code review catches what slipped through. Both are mandatory.
  • Plans must be specific enough to review. If the plan is vague, the review can't catch problems. Name files, reference patterns, cite decisions.
  • Default to existing patterns. When Unblocked shows the team does something a certain way, follow it — even if you think another way is "better." Consistency wins.
  • Loop back, don't patch forward. If either review finds issues, loop back and fix them properly. Don't try to compensate in the next phase.

Scaling to Task Size

Not every change needs equal ceremony. Scale the workflow to fit the task:

  • Trivial changes (typo fix, rename, one-line config tweak): Skip to Phase 5 (Generate Code), but always run Phase 6 (Review Code) before finishing.
  • Small changes (add a helper, adjust logic in one file): Run Phases 1-2 lightly — one or two queries — then proceed through the rest.
  • Standard changes (new feature, bug fix, refactor): Run the full workflow as written.
  • Large changes (cross-cutting refactor, new subsystem): Run the full workflow, expect multiple review loops, and consider breaking the task into smaller pieces.

When in doubt, run the full workflow. The cost of an unnecessary hydration query is seconds; the cost of missing context is a rewrite. Even the abbreviated path for trivial changes keeps the code review gate (Phase 6).

Reference Workflows

For specialized task types, load the relevant reference file for additional guidance:

  • Debugging a bugreferences/debugging-context.md — investigation structure for root cause analysis
  • Implementing a featurereferences/feature-context.md — discovery workflow for touch points and constraints
  • Exploring unfamiliar codereferences/exploring-context.md — architecture and convention discovery queries

Phase 1: Hydrate Context (Unblocked)

Before planning, gather context from Unblocked. Run multiple targeted queries — specific questions dramatically outperform broad ones.

Required queries (run all of these):

  1. unblocked_context_engine: "How does [feature area] work in this codebase?"
  2. unblocked_context_engine: "What conventions does the team follow for [relevant pattern]?"
  3. historical_context: "What decisions were made about [related area]?"
  4. data_retrieval: recent PRs and issues related to the area being changed

Also query for potential pitfalls:

  1. historical_context: "Has the team tried [this kind of change] before? What happened?"
  2. unblocked_context_engine: "What are the known gotchas or edge cases in [area]?"

Example — "add rate limiting to the API":

unblocked_context_engine: "How does the API middleware pipeline work?"
unblocked_context_engine: "Are there existing rate limiting or throttling mechanisms?"
unblocked_context_engine: "What patterns does the team use for middleware configuration?"
historical_context: "What decisions were made about API authentication and middleware?"
historical_context: "Has rate limiting been attempted or discussed before?"
data_retrieval: "PRs merged in the last 2 weeks touching the API layer"

Collect and carry forward:

  • Existing modules to extend (not reinvent)
  • Naming conventions and code style patterns
  • Architectural patterns the team actually uses
  • Related recent work that might conflict or coordinate
  • Prior decisions and rejected approaches
  • Known edge cases and gotchas

All of this context feeds into Phase 2. Do not start planning without it.


Phase 2: Draft Plan (Agent)

Design the implementation referencing specific findings from Phase 1. The plan must reflect the team's actual patterns, not generic best practices.

The plan should explicitly:

  • Name the existing modules, utilities, and patterns it will follow (from Phase 1)
  • Call out how it aligns with prior team decisions discovered during hydration
  • Note any area where the plan diverges from existing patterns and explain why
  • Identify files that will be created or modified
  • Describe the approach at enough detail that it can be critically reviewed

Do NOT write vague plans. A plan that says "add middleware for rate limiting" cannot be meaningfully reviewed. A plan that says "add a rateLimiter middleware in src/middleware/ following the same pattern as authMiddleware, using the express-rate-limit library that's already in package.json, storing counters in Redis via the existing src/lib/redis client" can be.


Phase 3: Review Plan (Unblocked)

CRITICAL GATE — Do not skip this phase.

Before writing any code, submit the plan to Unblocked for critical review. The goal is to catch problems when they're cheap to fix — before they become code.

Required queries (run all of these, referencing the specific plan):

  1. unblocked_context_engine: "We plan to [summarize approach]. Does this align with how [related system] works in this codebase? Are there existing patterns we should follow instead?"
  2. unblocked_context_engine: "We plan to modify/create [specific files]. What do we need to know about these files and their dependencies? Are there conventions for how changes in this area are typically structured?"
  3. historical_context: "Has the team tried [planned approach] before? Were there any problems or rejected alternatives?"
  4. unblocked_context_engine: "What could go wrong with [planned approach]? Are there edge cases, performance concerns, or integration issues we should consider?"

What you're looking for in the review:

  • Pattern mismatches: The plan uses approach X, but the team already has an established way to do this (approach Y). This is the #1 thing the review catches.
  • Missing context: The plan doesn't account for a related system, a recent change, or a known constraint that Unblocked surfaces.
  • Rejected approaches: The team tried this before and it didn't work, or explicitly decided against it.
  • Naming/convention violations: The plan introduces names, structures, or patterns that don't match the codebase.
  • Scope blindness: The plan misses files or systems that need to change together.

After reviewing the Unblocked responses, explicitly state:

  • What the review found (even if everything looks good)
  • Whether the plan needs revision
  • What specific changes are needed

Phase 4: Revise Plan (Agent)

Incorporate all feedback from the plan review. This is not cosmetic — if Unblocked surfaced that the team already does something a different way, the plan must change to match.

For each piece of feedback from Phase 3:

  • State what was found
  • State how the plan is being updated
  • If you disagree with the feedback, explain why (but default to matching existing patterns)

If the revision is major (changed approach, different files, new dependencies), loop back to Phase 3 and run the plan review again on the revised plan. Minor revisions (naming fixes, adding a missing import, adjusting a detail) do not need re-review.

Present the final revised plan to the user before proceeding to codegen.


Phase 5: Generate Code (Agent)

Implement the validated, reviewed plan. The plan has been grounded in real context and reviewed against organizational knowledge — now execute it.

During codegen:

  • Follow the plan. Don't deviate from reviewed decisions without reason.
  • If you encounter something unexpected that contradicts the plan, pause and re-query Unblocked rather than guessing.
  • If a build or runtime error occurs, use failure_debugging with the error message and surrounding context. This often surfaces known issues or past fixes.

Phase 6: Review Code (Unblocked)

CRITICAL GATE — Do not skip this phase.

After codegen, verify the generated code against organizational context. The plan review caught problems in the approach — this step catches problems in the execution.

Required queries (run all of these, referencing the actual code that was written):

  1. unblocked_context_engine: "We wrote [summarize what was generated — new files, modified files, key patterns used]. Does this match how the team typically implements [this kind of thing] in this codebase?"
  2. unblocked_context_engine: "Looking at [specific pattern/approach in generated code], is this consistent with the conventions in [area of codebase]? Are there existing utilities or helpers we should be using instead?"
  3. unblocked_context_engine: "What are the team's testing conventions for [area changed]? Do the changes we made follow those patterns?"
  4. historical_context: "Have there been issues in the past with [the approach taken in generated code] in this area of the codebase?"

What you're looking for in the review:

  • Reinvented wheels: The code creates something that already exists as a utility, helper, or shared module in the codebase. This is the #1 thing the code review catches.
  • Convention drift: The code works but doesn't match how the team writes this kind of code — wrong error handling pattern, different naming style, non-standard file organization.
  • Missing patterns: The team has established patterns for this kind of change (e.g., always add a migration, always update the API docs, always emit an event) that the generated code doesn't follow.
  • Context gaps: The code doesn't account for something Unblocked surfaces — a related system that needs updating, a known edge case, a constraint from a dependent service.

After reviewing the Unblocked responses, explicitly state:

  • What the review found (even if everything looks clean)
  • Whether the code needs revision
  • What specific changes are needed

Phase 7: Revise Code (Agent)

Fix all issues surfaced by the code review. These are not suggestions — if Unblocked showed that the team does something a different way, the code must change to match.

For each issue from Phase 6:

  • State what was found
  • State what is being changed
  • Make the fix

If the revision is significant (new files, changed approach, different utilities), loop back to Phase 6 and run the code review again. Small fixes (rename a variable, swap to an existing utility, add a missing import) do not need re-review.

After all issues are resolved, present a summary to the user:

  • What was built
  • What the plan review caught and changed
  • What the code review caught and fixed
  • Any remaining considerations or follow-ups

Tool Selection

QuestionTool
How/why does X work?unblocked_context_engine
What was decided about X?historical_context
Recent PRs/issues in area Xdata_retrieval
Contents of a specific PR/issue URLlink_resolver
Debug a build/runtime failurefailure_debugging

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.88%
按下载量换算31

Claude

29.69%
按下载量换算27

Cursor

19.67%
按下载量换算18

Gemini CLI

8.33%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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