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- 26 条
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: skill-strategy
description: Go-to-market strategy research with positioning and channels Thin wrapper that routes GTM strate…
category: 通用
runtime: 无特殊运行时
---
# skill-strategy 输出预览
## PART A: 任务判断
- 适用问题:通用任务拆解、检查和交付。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“Context Pointers / Trigger Conditions / Direct Invocation”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于通用任务拆解、检查和交付,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“Context Pointers / Trigger Conditions / Direct Invocation”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、执行终端命令、主要在本地完成、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件、执行终端命令;主要在本地完成;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文出现了 `/strategy`、`/research`、`/plan` 这类斜杠命令;如果你的 Agent 支持命令触发,优先用命令开场,再补充目标和边界。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件、执行终端命令。
先用一个小任务确认它会围绕“Context Pointers / Trigger Conditions / Direct Invocation”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: skill-strategy
description: Go-to-market strategy research with positioning and channels Thin wrapper that routes GTM strate…
category: 通用
source: benbrastmckie/nvim
---
# skill-strategy
## 什么时候使用
- 把通用方向的常用动作沉淀成 Agent 可调用的技能 适合处理通用任务拆解、检查、交付和复盘,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免 Agent 泛泛回答。 把任务拆成可执行、可检查、可继续迭代的步骤;通常不需要额外…
- 面向通用任务拆解、检查和交付,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「Context Pointers / Trigger Conditions / Direct Invocation」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件、执行终端命令;主要在本地完成;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "skill-strategy" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> Context Pointers / Trigger Conditions / Direct Invocation
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> 无特殊运行时 | 读取文件、写入/修改文件、执行终端命令 | 主要在本地完成
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} Strategy Skill
Thin wrapper that routes GTM strategy research requests to the strategy-agent.
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.
Context Pointers
Reference (do not load eagerly):
- Path:
.opencode/context/formats/subagent-return.md - Purpose: Return validation
- Load at: Subagent execution only
Note: This skill is a thin wrapper. Context is loaded by the delegated agent, not this skill.
Trigger Conditions
This skill activates when:
Direct Invocation
- User explicitly runs
/strategycommand with task number - User runs
/researchon a founder task withtask_type: "strategy"
Implicit Invocation (during task implementation)
When an implementing agent encounters any of these patterns:
Plan step language patterns:
- "Develop GTM strategy"
- "Create go-to-market plan"
- "Define positioning"
- "Channel strategy"
- "Launch planning"
Target mentions:
- "go-to-market"
- "GTM strategy"
- "positioning statement"
- "launch plan"
- "channel prioritization"
When NOT to trigger
Do not invoke for:
- Market sizing (use skill-market)
- Competitive analysis (use skill-analyze)
- General business research (use skill-researcher)
- Product roadmap (not GTM)
Execution Flow
Stage 1: Input Validation
Validate required inputs:
task_number- Must be provided and exist in state.jsontopic- Optional, string context hintmode- Optional, one of: LAUNCH, SCALE, PIVOT, EXPAND
# 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 "$task_data" | jq -r '.task_type // "founder"')
status=$(echo "$task_data" | jq -r '.status')
project_name=$(echo "$task_data" | jq -r '.project_name')
description=$(echo "$task_data" | jq -r '.description // ""')
# Extract pre-gathered forcing_data (if present)
forcing_data=$(echo "$task_data" | jq -r '.forcing_data // null')
pre_gathered_mode=$(echo "$forcing_data" | jq -r '.mode // null' 2>/dev/null)
# Validate mode if provided
if [ -n "$mode" ]; then
case "$mode" in
LAUNCH|SCALE|PIVOT|EXPAND) ;;
*) return error "Invalid mode: $mode. Must be LAUNCH, SCALE, PIVOT, or EXPAND" ;;
esac
fi
Stage 2: Preflight Status Update
Update task status to "researching" BEFORE invoking subagent.
Update state.json:
jq --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" \
--arg status "researching" \
--arg sid "$session_id" \
'(.active_projects[] | select(.project_number == '$task_number')) |= . + {
status: $status,
last_updated: $ts,
session_id: $sid
}' specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
Update TODO.md: Use Edit tool to change status marker to [RESEARCHING].
Stage 3: Create Postflight Marker
padded_num=$(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-strategy",
"task_number": ${task_number},
"operation": "research",
"reason": "Postflight pending: status update, artifact linking, git commit",
"created": "$(date -u +%Y-%m-%dT%H:%M:%SZ)"
}
EOF
Stage 4: Prepare Delegation Context
Include pre-gathered forcing_data when available:
{
"task_context": {
"task_number": N,
"project_name": "{project_name}",
"description": "{description}",
"task_type": "founder",
"task_type": "strategy"
},
"forcing_data": {
"mode": "{pre_gathered_mode}",
"target_customer": "{pre_gathered_target}",
"value_prop": "{pre_gathered_value_prop}",
"differentiator": "{pre_gathered_differentiator}",
"channel_hypothesis": "{pre_gathered_channel}",
"launch_context": "{pre_gathered_launch}",
"gathered_at": "{timestamp}"
},
"topic": "optional context hint",
"mode": "LAUNCH|SCALE|PIVOT|EXPAND or use forcing_data.mode",
"metadata_file_path": "specs/{NNN}_{SLUG}/.return-meta.json",
"metadata": {
"session_id": "sess_{timestamp}_{random}",
"delegation_depth": 1,
"delegation_path": ["orchestrator", "strategy", "skill-strategy"]
}
}
Note: If forcing_data is present from STAGE 0 of /strategy command, pass it to the agent.
The agent will use pre-gathered data and only ask follow-up questions for missing details.
Stage 5: Invoke Agent
CRITICAL: You MUST use the Task tool to spawn the agent.
Required Tool Invocation:
Tool: Task (NOT Skill)
Parameters:
- subagent_type: "strategy-agent"
- prompt: [Include task_context, forcing_data, topic, mode, metadata_file_path, metadata]
- description: "GTM strategy research with positioning and channels"
The agent will:
- Use pre-gathered forcing_data if available (skip already-answered questions)
- Present mode selection only if not pre-selected
- Use forcing questions for positioning context (building on pre-gathered data)
- Gather channel data with evidence
- Collect launch timing and metrics data
- Create research report at specs/{NNN}_{SLUG}/reports/
- Write metadata file
- Return brief text summary
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 the appropriate status value for this operation.
If you DID use the Task tool, 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 or inline (Stage 5b). Do NOT skip these stages for any reason.
Stage 6: Read Metadata File
padded_num=$(printf "%03d" "$task_number")
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")
else
status="failed"
fi
Stage 7: Update Task Status (Postflight)
If status is "researched", update state.json and TODO.md.
Update state.json:
jq --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" \
--arg status "researched" \
'(.active_projects[] | select(.project_number == '$task_number')) |= . + {
status: $status,
last_updated: $ts
}' specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
Update TODO.md: Use Edit tool to change status marker to [RESEARCHED].
Stage 8: Link Artifacts
Add artifact to state.json with summary.
IMPORTANT: Use two-step jq pattern to avoid escaping issues.
if [ -n "$artifact_path" ]; then
# Step 1: Filter out existing research artifacts (use "| not" pattern)
jq '(.active_projects[] | select(.project_number == '$task_number')).artifacts =
[(.active_projects[] | select(.project_number == '$task_number')).artifacts // [] | .[] | select(.type == "research" | not)]' \
specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
# Step 2: Add new research 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: Link artifact using count-aware format.
Apply the four-case Edit logic from @.opencode/context/patterns/artifact-linking-todo.md
with field_name=**Research**, next_field=**Plan**.
Stage 9: Git Commit
git add -A
git commit -m "task ${task_number}: complete research
Session: ${session_id}
Stage 10: Cleanup
rm -f "specs/${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
GTM strategy research completed for task {N}:
- Mode: {mode}, {questions_asked} forcing questions completed
- Target: {brief target customer}
- Key benefit: {brief benefit}
- Top channels: {list}
- Launch recommendation: {type}
- Pre-gathered data used: {yes/no}
- Research report: specs/{NNN}_{SLUG}/reports/01_{short-slug}.md
- Status updated to [RESEARCHED]
- Changes committed
- Next: Run /plan {N} to create implementation plan
Return Format
Brief text summary (NOT JSON).
Expected successful return:
GTM strategy research completed for task 234:
- Mode: LAUNCH, 10 forcing questions completed
- Target: VP Engineering at Series A-C SaaS, 50-200 employees
- Key benefit: Cut deploy time by 80%
- Top channels: Hacker News, DevOps meetups, Twitter
- Launch recommendation: Beta (2K waitlist with 40% engagement)
- Pre-gathered data used: yes (5 questions from STAGE 0)
- Research report: specs/234_gtm_strategy_b2b_saas/reports/01_gtm-strategy.md
- Status updated to [RESEARCHED]
- Changes committed with session sess_1736700000_abc123
- Next: Run /plan 234 to create implementation plan
Error Handling
Input Validation Errors
Return immediately if task not found.
Metadata File Missing
Keep status as "researching" for resume.
User Abandonment
Return partial status with progress made.
Git Commit Failure
Non-blocking: Log failure but continue.
先判断是否适合
作者设计意图
作者的方法与取舍
边界和复核