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Agent Skill · 待分类

skill-implementer(技能实施者)

skill-implementer 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

skill-implementer 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为权限未标注;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 8,615。

总安装 288周安装 12GitHub Stars 437下载 96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:skill-implementer(技能实施者)
来源仓库:https://github.com/benbrastmckie/.config
仓库路径:skills/skill-implementer
安装命令:
npx skills add https://github.com/benbrastmckie/.config --skill skill-implementer
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/benbrastmckie/.config --skill skill-implementer

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

skill-implementer 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在开发流程中整合任务管理与代码变更。可辅助跟踪 Issue 进展、分析 PR 差异或生成协作摘要,提升开发效率。通过 npx skills add 命令从指定仓库安装,需确认仓库路径与访问权限。

使用前建议检查维护状态,避免依赖不稳定或存在安全风险的功能。注意是否触发命令执行或文件修改,确保符合本地安全策略。

来源仓库内路径:skills/skill-implementer

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/benbrastmckie/.config --skill skill-implemente…;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

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

skill-implementer 怎么安装?

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

skill-implementer 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。

skill-implementer 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

skill-implementer 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。

skill-implementer 用的人多吗?

公开数据是累计安装 288 次,近一周安装 12 次,下载 96 次,GitHub 437 星。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。

skill-implementer 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

不太适合

  • 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。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
skill-implementer

技能实施者 · 本页

288437权限未标注未明确通过

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

name
skill-implementer
description
Execute general implementation tasks following a plan. Invoke for general implementation work.
allowed-tools
Task, Bash, Edit, Read, Write

Implementer Skill

Thin wrapper that delegates general implementation to general-implementation-agent subagent.

IMPORTANT: This skill implements the skill-internal postflight pattern. After the subagent returns, this skill handles all postflight operations (status update, artifact linking, git commit) before returning. This eliminates the "continue" prompt issue between skill return and orchestrator.

Context References

Reference (do not load eagerly):

  • Path: .claude/context/formats/return-metadata-file.md - Metadata file schema
  • Path: .claude/context/patterns/postflight-control.md - Marker file protocol
  • Path: .claude/context/patterns/file-metadata-exchange.md - File I/O helpers
  • Path: .claude/context/patterns/jq-escaping-workarounds.md - jq escaping patterns (Issue #1132)

Note: This skill is a thin wrapper with internal postflight. Context is loaded by the delegated agent.

Trigger Conditions

This skill activates when:

  • Task type is "general", "meta", or "markdown"
  • /implement command is invoked
  • Plan exists and task is ready for implementation

Execution Flow

Stage 1: Input Validation

Validate required inputs:

  • task_number - Must be provided and exist in state.json
  • Task status must allow implementation (planned, implementing, partial)
# Lookup task
task_data=$(jq -r --argjson num "$task_number" \
  '.active_projects[] | select(.project_number == $num)' \
  specs/state.json)

# Validate exists
if [ -z "$task_data" ]; then
  return error "Task $task_number not found"
fi

# Extract fields
task_type=$(echo "$task_data" | jq -r '.task_type // "general"')
status=$(echo "$task_data" | jq -r '.status')
project_name=$(echo "$task_data" | jq -r '.project_name')
description=$(echo "$task_data" | jq -r '.description // ""')

# Validate status (only block terminal states)
if [ "$status" = "completed" ] || [ "$status" = "abandoned" ] || [ "$status" = "expanded" ]; then
  return error "Task is in terminal state [$status]"
fi

Stage 2: Preflight Status Update

Update task status to "implementing" BEFORE invoking subagent.

Run the centralized status update script, which atomically updates state.json, TODO.md (task entry + Task Order), and the plan file:

bash .claude/scripts/update-task-status.sh preflight "$task_number" implement "$session_id"

Note: The script handles all three updates (state.json status/timestamps/session_id, TODO.md [PLANNED] -> [IMPLEMENTING] in both task entry and Task Order, and plan file status -> [IMPLEMENTING]) in a single call. No additional Edit or jq operations are needed.


Stage 3: Create Postflight Marker

Create the marker file to prevent premature termination:

# Ensure task directory exists
padded_num=$(printf "%03d" "$task_number")
mkdir -p "specs/${padded_num}_${project_name}"

cat > "specs/${padded_num}_${project_name}/.postflight-pending" << EOF
{
  "session_id": "${session_id}",
  "skill": "skill-implementer",
  "task_number": ${task_number},
  "operation": "implement",
  "reason": "Postflight pending: status update, artifact linking, git commit",
  "created": "$(date -u +%Y-%m-%dT%H:%M:%SZ)",
  "stop_hook_active": false
}
EOF

Stage 3a: Calculate Artifact Number

Read next_artifact_number from state.json and use (current-1) since summary stays in the same round as research/plan:

# Read next_artifact_number from state.json
next_num=$(jq -r --argjson num "$task_number" \
  '.active_projects[] | select(.project_number == $num) | .next_artifact_number // 1' \
  specs/state.json)

# Implement uses (current - 1) to stay in the same round as research/plan
# If next_artifact_number is 1 (no research yet), use 1
if [ "$next_num" -le 1 ]; then
  artifact_number=1
else
  artifact_number=$((next_num - 1))
fi

# Fallback for legacy tasks: count existing summary artifacts
if [ "$next_num" = "null" ] || [ -z "$next_num" ]; then
  padded_num=$(printf "%03d" "$task_number")
  count=$(ls "specs/${padded_num}_${project_name}/summaries/"*[0-9][0-9]*.md 2>/dev/null | wc -l)
  artifact_number=$((count + 1))
fi

artifact_padded=$(printf "%02d" "$artifact_number")

Note: Implement does NOT increment next_artifact_number. Only research advances the sequence.


Stage 4a: Memory Retrieval (Auto)

Retrieve relevant memories from the memory system to inject into the delegation context.

Skip if: clean_flag is true in the delegation context (from --clean command flag).

# Check clean_flag
if [ "$clean_flag" != "true" ]; then
  memory_context=$(bash .claude/scripts/memory-retrieve.sh "$description" "$task_type" "" 2>/dev/null) || memory_context=""
fi

# memory_context will be empty string if:
# - clean_flag is true (skipped)
# - memory-index.json missing or empty
# - no keywords matched any entries
# - script exited with error

If memory_context is non-empty, it will be injected into the Stage 5 prompt alongside the format specification from Stage 4b. If empty, no memory block is injected.


Stage 4: Prepare Delegation Context

Prepare delegation context for the subagent:

{
  "session_id": "sess_{timestamp}_{random}",
  "delegation_depth": 1,
  "delegation_path": ["orchestrator", "implement", "skill-implementer"],
  "timeout": 7200,
  "task_context": {
    "task_number": N,
    "task_name": "{project_name}",
    "description": "{description}",
    "task_type": "{task_type}"
  },
  "artifact_number": "{artifact_number from Stage 3a}",
  "effort_flag": "{effort_flag from command, null if not set}",
  "model_flag": "{model_flag from command, null if not set}",
  "plan_path": "specs/{NNN}_{SLUG}/plans/MM_{short-slug}.md",
  "metadata_file_path": "specs/{NNN}_{SLUG}/.return-meta.json"
}

Note: The artifact_number field tells the agent which sequence number to use for artifact naming (e.g., 01, 02). Summary uses the same round number as the research and plan that preceded it.

Model/Effort Flags: If model_flag is set (haiku, sonnet, opus), pass it as the model parameter on the Task tool to override the agent's frontmatter default. If effort_flag is set (fast, hard), include it as prompt context for reasoning depth guidance.

CRITICAL: No Source Reading Before Delegation -- Between preparing the delegation context (Stage 4) and spawning the sub-agent (Stage 5), the lead skill MUST NOT read, grep, glob, or analyze source files. The plan file and state.json are the only files the lead reads. All codebase exploration (reading source files, grepping for patterns, using MCP tools) is the exclusive responsibility of the sub-agent after it is spawned.

Stage 4b: Read and Inject Format Specification

Read the summary format file and prepare it for injection into the subagent prompt. This ensures the subagent always has the full format specification in its context, regardless of whether it reads the file itself.

format_content=$(cat .claude/context/formats/summary-format.md)

The format content will be included as a delimited section in the Stage 5 prompt (see below).


Stage 5: Invoke Subagent

CRITICAL: You MUST use the Task tool to spawn the subagent.

Required Tool Invocation:

Tool: Task (NOT Skill)
Parameters:
  - subagent_type: "general-implementation-agent"
  - prompt: [Include task_context, delegation_context, plan_path, metadata_file_path,
             AND the format specification from Stage 4b as shown below]
  - description: "Execute implementation for task {N}"

Format Injection: Include the format specification from Stage 4b in the prompt as a clearly-delimited section:

<artifact-format-specification>
## CRITICAL: Summary Format Requirements

You MUST follow this format specification exactly when writing the implementation summary.
Non-compliance will be caught by postflight validation.

{format_content from Stage 4b}
</artifact-format-specification>

Place this section AFTER the delegation context JSON and BEFORE any other instructions.

Memory Context Injection: If memory_context from Stage 4a is non-empty, include it in the prompt as a separate block:

{memory_context from Stage 4a -- already wrapped in <memory-context> tags}

Place the memory context block AFTER the format specification and BEFORE the task-specific instructions. Do NOT inject an empty <memory-context> block when no memories were retrieved.

DO NOT use Skill(general-implementation-agent) - this will FAIL.

The subagent will:

  • Load implementation context files
  • Parse plan and find resume point
  • Execute phases sequentially
  • Create/modify files as needed
  • Create implementation summary
  • Write metadata to specs/{NNN}_{SLUG}/.return-meta.json
  • Return a brief text summary (NOT JSON)

Stage 5a: Validate Subagent Return Format

If the subagent's text return parses as valid JSON, log a warning (v1 pattern instead of v2 file-based pattern). Non-blocking -- continue to read metadata file regardless.


Stage 5b: Self-Execution Fallback

CRITICAL: If you performed the work above WITHOUT using the Task tool (i.e., you read files, wrote artifacts, or updated metadata directly instead of spawning a subagent), you MUST write a .return-meta.json file now before proceeding to postflight. Use the schema from return-metadata-file.md with status value "implemented" and the appropriate artifact information.

If you DID use the Task tool (Stage 5), skip this stage -- the subagent already wrote the metadata.


Postflight (ALWAYS EXECUTE)

The following stages MUST execute after work is complete, whether the work was done by a subagent (Stage 5) or inline (Stage 5b). Do NOT skip these stages for any reason.

Stage 6: Parse Subagent Return (Read Metadata File)

Read the metadata file:

metadata_file="specs/${padded_num}_${project_name}/.return-meta.json"

if [ -f "$metadata_file" ] && jq empty "$metadata_file" 2>/dev/null; then
    status=$(jq -r '.status' "$metadata_file")
    artifact_path=$(jq -r '.artifacts[0].path // ""' "$metadata_file")
    artifact_type=$(jq -r '.artifacts[0].type // ""' "$metadata_file")
    artifact_summary=$(jq -r '.artifacts[0].summary // ""' "$metadata_file")
    phases_completed=$(jq -r '.metadata.phases_completed // 0' "$metadata_file")
    phases_total=$(jq -r '.metadata.phases_total // 0' "$metadata_file")

    # Extract completion_data fields (if present)
    completion_summary=$(jq -r '.completion_data.completion_summary // ""' "$metadata_file")
    claudemd_suggestions=$(jq -r '.completion_data.claudemd_suggestions // ""' "$metadata_file")
    roadmap_items=$(jq -c '.completion_data.roadmap_items // []' "$metadata_file")
    memory_candidates=$(jq -c '.memory_candidates // []' "$metadata_file")
else
    echo "Error: Invalid or missing metadata file"
    status="failed"
fi

Stage 6a: Validate Artifact Content

If subagent status indicates success ("implemented" or "partial") and artifact_path is non-empty, validate the summary artifact against format requirements. This is non-blocking -- warnings are logged but do not prevent postflight from completing.

if [ "$status" = "implemented" ] || [ "$status" = "partial" ]; then
    if [ -n "$artifact_path" ] && [ -f "$artifact_path" ]; then
        echo "Validating summary artifact..."
        if ! bash .claude/scripts/validate-artifact.sh "$artifact_path" summary --fix; then
            echo "WARNING: Summary artifact has format issues (non-blocking). Review output above."
        fi
    fi
fi

Note: The --fix flag attempts auto-repair of missing metadata fields. Validation failures are logged but do not block status update or git commit.


Stage 7: Update Task Status (Postflight)

If status is "implemented":

Step 1: Run the centralized status update script to update state.json (status -> "completed", timestamps), TODO.md ([IMPLEMENTING] -> [COMPLETED] in task entry + Task Order), and plan file (status -> [COMPLETED]):

bash .claude/scripts/update-task-status.sh postflight "$task_number" implement "$session_id"

Step 2: Add completion_summary to state.json (implementer-specific, not covered by centralized script):

if [ -n "$completion_summary" ]; then
    jq --arg summary "$completion_summary" \
      '(.active_projects[] | select(.project_number == '$task_number')).completion_summary = $summary' \
      specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
fi

Step 3: Add task-type-specific completion fields (implementer-specific):

# For meta tasks: add claudemd_suggestions
if [ "$task_type" = "meta" ] && [ -n "$claudemd_suggestions" ]; then
    jq --arg suggestions "$claudemd_suggestions" \
      '(.active_projects[] | select(.project_number == '$task_number')).claudemd_suggestions = $suggestions' \
      specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
fi

# For non-meta tasks: add roadmap_items (if present and non-empty)
if [ "$task_type" != "meta" ] && [ "$roadmap_items" != "[]" ] && [ -n "$roadmap_items" ]; then
    jq --argjson items "$roadmap_items" \
      '(.active_projects[] | select(.project_number == '$task_number')).roadmap_items = $items' \
      specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
fi

Step 4: Propagate memory candidates (if any) with append semantics:

if [ "$memory_candidates" != "[]" ] && [ -n "$memory_candidates" ]; then
    # Append new candidates to existing array (append semantics, not overwrite)
    jq --argjson new_candidates "$memory_candidates" \
      '(.active_projects[] | select(.project_number == '$task_number')).memory_candidates =
        ((.active_projects[] | select(.project_number == '$task_number')).memory_candidates // []) + $new_candidates' \
      specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
fi

Note: Uses // [] fallback and + append so research candidates (from skill-researcher) and implementation candidates coexist on the same task entry.

Step 5: Remove from Recommended Order section (non-blocking, not covered by centralized script):

if source "$PROJECT_ROOT/.claude/scripts/update-recommended-order.sh" 2>/dev/null; then
    remove_from_recommended_order "$task_number" || echo "Note: Failed to update Recommended Order"
fi

If status is "partial":

Keep status as "implementing" but update resume point. This path remains inline because the centralized update-task-status.sh maps postflight:implement to "completed" only -- it has no "partial" mapping.

jq --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" \
   --argjson phase "$phases_completed" \
  '(.active_projects[] | select(.project_number == '$task_number')) |= . + {
    last_updated: $ts,
    resume_phase: ($phase + 1)
  }' specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json

TODO.md stays as [IMPLEMENTING].

Update plan file (if exists): Update the Status field to [PARTIAL]:

.claude/scripts/update-plan-status.sh "$task_number" "$project_name" "PARTIAL"

On failed: Keep status as "implementing" for retry. Do not update plan file (leave as [IMPLEMENTING] for retry).


Stage 8: Link Artifacts

Add artifact to state.json with summary.

IMPORTANT: Use two-step jq pattern to avoid Issue #1132 escaping bug. See jq-escaping-workarounds.md.

if [ -n "$artifact_path" ]; then
    # Step 1: Filter out existing summary artifacts (use "| not" pattern to avoid != escaping - Issue #1132)
    jq '(.active_projects[] | select(.project_number == '$task_number')).artifacts =
        [(.active_projects[] | select(.project_number == '$task_number')).artifacts // [] | .[] | select(.type == "summary" | not)]' \
      specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json

    # Step 2: Add new summary artifact
    jq --arg path "$artifact_path" \
       --arg type "$artifact_type" \
       --arg summary "$artifact_summary" \
      '(.active_projects[] | select(.project_number == '$task_number')).artifacts += [{"path": $path, "type": $type, "summary": $summary}]' \
      specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
fi

Update TODO.md (if implemented): Link artifact using the automated script:

bash .claude/scripts/link-artifact-todo.sh $task_number '**Summary**' '**Description**' "$artifact_path"

If the script exits non-zero, log a warning but continue (linking errors are non-blocking).


Stage 9: Git Commit

Commit changes with session ID:

git add -A
git commit -m "task ${task_number}: complete implementation

Session: ${session_id}

Stage 10: Cleanup

Remove marker and metadata files:

rm -f "specs/${padded_num}_${project_name}/.postflight-pending"
rm -f "specs/${padded_num}_${project_name}/.postflight-loop-guard"
rm -f "specs/${padded_num}_${project_name}/.return-meta.json"

Stage 11: Return Brief Summary

Return a brief text summary (NOT JSON). Example:

Implementation completed for task {N}:
- All {phases_total} phases executed successfully
- Key changes: {summary of changes}
- Created summary at specs/{NNN}_{SLUG}/summaries/MM_{short-slug}-summary.md
- Status updated to [COMPLETED]
- Changes committed

Error Handling

See rules/error-handling.md for general patterns. Skill-specific behaviors:

  • Input validation errors: Return immediately with error message
  • Metadata file missing: Keep status as "implementing", do not cleanup marker, report to user
  • Git commit failure: Non-blocking (log and continue)
  • Subagent timeout: Return partial status, keep "implementing" for resume

Pre-Delegation Boundary

Before spawning the implementation sub-agent, this skill MUST NOT:

  1. Read source files - Source files are read by the sub-agent, not the lead
  2. Grep or glob the codebase - Codebase exploration is sub-agent work
  3. Use MCP tools - Domain tools (LSP, build, etc.) are for sub-agent use only
  4. Analyze source code - Code analysis belongs to the implementation agent
  5. Run build or test commands - Verification is done by the sub-agent

The pre-delegation phase is LIMITED TO:

  • Reading the plan file to locate phases and extract the plan path
  • Reading state.json and TODO.md for status updates
  • Preparing the delegation context JSON
  • Reading the summary format file for injection (Stage 4b)
  • Spawning the sub-agent with the Task tool

MUST NOT (Postflight Boundary)

After the agent returns -- whether with status implemented, partial, or failed -- this skill MUST proceed immediately to Stage 6 (read metadata file). The skill MUST NOT:

  1. Read source files - Source files were the subagent's responsibility
  2. Edit source files - All implementation work is done by the subagent
  3. Run build/test commands - Verification is done by the subagent
  4. Use MCP tools - Domain tools are for subagent use only
  5. Grep or glob the codebase - Analysis is subagent work
  6. Write summary/reports - Artifact creation is done by the subagent
PROHIBITION: If the subagent returned partial or failed status, the lead skill MUST NOT attempt to continue, complete, or "fill in" the subagent's work. Report the partial/failed status and let the user re-run /implement to resume.

The postflight phase is LIMITED TO:

  • Reading agent metadata file (.return-meta.json)
  • Updating state.json via jq
  • Updating TODO.md status marker via Edit or script
  • Linking artifacts in state.json
  • Git commit
  • Cleanup of temp/marker files

Reference: @.claude/context/standards/postflight-tool-restrictions.md

平台分布

Codex

36.22%
按下载量换算35

Claude

28.77%
按下载量换算28

Cursor

18.8%
按下载量换算18

Gemini CLI

9.08%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

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安装前确认

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