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Agent Skill · 研究检索

tackle-issues(解决问题)

用于围绕 GitHub 仓库、Issue、Pull Request、分支、提交和代码协作流程提供辅助能力。它适合让 Agent 查询项目状态、整理变更、辅助创建或检查协作事项,并把仓库中的信息转成可执行的下一步。使用时需要区分只读查询和写入操作;涉及创建 PR、修改 Issue、推送分支或访问私有仓库时,应确认 token 权限、目标仓库范围和用户授权。

tackle-issues 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 70,604。

总安装 210周安装 9GitHub Stars 公开资料未说明下载 73核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:tackle-issues(解决问题)
来源仓库:https://github.com/ishakantony/skills
仓库路径:skills/tackle-issues
安装命令:
npx skills add https://github.com/ishakantony/skills --skill tackle-issues
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/ishakantony/skills --skill tackle-issues

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

tackle-issues 用于围绕 GitHub 仓库、Issue、Pull Request 等提供协作辅助,适合在 Codex、Claude、Cursor、Gemini CLI 中管理项目状态。适用于查询项目进展、整理代码变更和协助创建协作事项。

通过 npx skills add 命令从指定 GitHub 仓库安装并使用。需区分只读与写入操作,涉及私有仓库时需确认 token 权限。可结合原始 README 进一步核验具体功能和调用方式。

来源仓库内路径:skills/tackle-issues

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/ishakantony/skills --skill tackle-issues;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

tackle-issues 怎么安装?

在终端执行 npx skills add https://github.com/ishakantony/skills --skill tackle-issues。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

tackle-issues 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

tackle-issues 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/ishakantony/skills --skill tackle-issues 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

tackle-issues 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

tackle-issues 用的人多吗?

公开数据是累计安装 210 次,近一周安装 9 次,下载 73 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

tackle-issues 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
tackle-issues

解决问题 · 本页

210—执行命令未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Tackle Issues

Loop through AFK issues in issues/, picking and completing one task at a time. Each task runs in a subagent.

Quick start

  1. Discover the project's feedback loops (test + typecheck/lint).
  2. List issues/*.md (skip issues/done/), classify HITL vs AFK.
  3. Build the queue once — order all AFK issues deterministically and materialize them as a TODO list (one todo per issue). This is the source of truth for the rest of the loop.
  4. If the queue is empty → output <promise>NO MORE TASKS</promise> and stop.
  5. Pop the next pending todo, spawn a subagent to complete it.
  6. After the subagent returns, update that todo (done / partial / blocked) and loop to step 4.

Do not re-classify or re-prioritize the full backlog on every iteration — that is what causes the infinite-thinking-loop bug when several issues are equally workable. Build the queue once; only revisit it when a subagent reports a new issue file appeared.

1. Discover feedback loops (once, at start)

Detect the project's test and typecheck/lint commands by inspecting common manifests:

  • package.json → look at scripts (test, typecheck, lint)
  • Makefile → look for test, check, lint targets
  • pyproject.toml / tox.ini → pytest, mypy, ruff
  • Cargo.toml → cargo test, cargo clippy, cargo check
  • go.mod → go test./..., go vet./...
  • composer.json, Gemfile, mix.exs, build.gradle, pom.xml → analogous

If commands are obvious from the manifest, use them without asking. If ambiguous (multiple test scripts, unclear lint target, no manifest), ask the user once and remember the answer for the rest of the loop.

Record the discovered commands — pass them into every subagent.

2. Read issues

  • Read every issues/*.md (not recursively — skip issues/done/).
  • For each, classify HITL vs AFK by reading the file (look for a Type: field, an HITL tag, or explicit wording).
  • Drop HITL issues from the queue.

3. Build the queue (once)

Sort all AFK issues into a single deterministic order, then write them to a TODO list using TaskCreate — one todo per issue, content Tackle <filename>: <one-line title>.

Sort order (apply each tier; within a tier, fall through to the next tie-breaker):

  1. Priority tier (lower wins):

1. Critical bugfixes 2. Development infrastructure (tests, types, dev scripts) 3. Tracer bullets for new features (thin end-to-end slice) 4. Polish and quick wins 5. Refactors

  1. Blockers: any issue whose Blocked by: field references something not yet in issues/done/ is held back — keep it in the list but mark its todo [blocked: waiting on <X>] so it is skipped until its blocker is done.
  2. Explicit Priority: field in the issue file (P0 > P1 > P2 …), if present.
  3. Filename order (alphabetical) — the final, always-decisive tie-breaker. Never spend cycles deciding between two same-tier issues; the filename wins.

Once the TODO list is written, treat it as immutable order. Do not re-sort. The only allowed mutations are:

  • marking a todo done / partial / blocked after its subagent returns,
  • appending newly-discovered issue files to the end of the list,
  • unblocking a todo when its blocker moves to issues/done/.

4. Get recent context

Run git log --oneline -20 yourself to summarize what's already been shipped. Pass this summary to the subagent so it doesn't repeat completed work.

5. Spawn a subagent

Use the Agent tool (subagent_type: general-purpose) so the main context stays clean. The prompt MUST be self-contained and include:

  • The full content of the issue file
  • The issue's filename (so the subagent can move it on completion)
  • The discovered feedback-loop commands (test + typecheck/lint)
  • The recent commits summary
  • These instructions:

- Explore the repo first - Implement using the tdd skill (red → green → refactor, vertical slices) - Before committing, run the feedback loops; fix failures - Commit with a message that includes: key decisions made, files changed, blockers/notes for next iteration - On success: git mv issues/<file>.md issues/done/<file>.md - On partial completion: append a ## Progress note (YYYY-MM-DD) section to the issue file describing what was done and what's left, then commit - Report back: which issue, status (done / partial), commit SHA, any blockers

See SUBAGENT_PROMPT.md for a copy-pasteable prompt template.

6. Update the TODO and loop

After the subagent returns, update the corresponding todo immediately — do not batch:

  • done → mark the todo completed.
  • partial → mark it completed with a (partial — see progress note) suffix; the issue file stays in issues/ and will be picked up again on a future run, but do not re-run it in this loop.
  • blocked → mark it [blocked: <reason>] and move on to the next pending todo.
  • hard blocker for the whole loop (broken test infra the subagent can't fix, missing dep, etc.) → surface to the user and stop.

Then check for new issue files (a subagent may have split a task or filed a follow-up). Append any new ones to the end of the TODO list using the same sort rules — but do not reorder existing todos.

Loop to step 4. When all todos are done/blocked, output <promise>NO MORE TASKS</promise>. If only blocked todos remain and nothing can unblock them, surface the blocker chain to the user before stopping.

Rules

  • One task per subagent. Never bundle.
  • Never touch HITL issues — leave them for the user.
  • Never git push unless the user explicitly asks.
  • Never skip hooks (--no-verify, etc.).
  • If the discovered feedback loops fail and the subagent can't fix them, treat it as a blocker — do not commit broken code to keep the loop moving.
  • Never re-sort the TODO list mid-loop. Order is decided once at step 3. If you find yourself comparing two same-tier issues to decide which to do "next," stop — the filename tie-breaker already decided. This rule exists to prevent the infinite-thinking-loop failure mode where the model spins re-weighing equally-workable issues every iteration.

平台分布

Codex

35.8%
按下载量换算26

Claude

30.26%
按下载量换算22

Cursor

16.41%
按下载量换算12

Gemini CLI

9.75%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/ishakantony/skills --skill tackle-issues 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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