dbs
claudedontbesilent 商业工具箱的技能调度台,根据当前问题和反馈选择下一步,在对话中直接执行、澄清、组合或对照尝试 Skill。用户不知道从哪里开始、需要调整处理方法、第一次使用 dbskill、输入三位编号或查询隐藏款目录时使用;仅需推荐或可复制提示词时按请求交付。
1 skill
提取已有约束,只追问影响执行或验收的信息,把模糊愿望整理成可行动、可检查的交付目标。用户要明确做成什么、边界和验收标准时使用;不替代概念拆解或研究问题改写。
Plugin dbs-goal from marketplace dontbesilent-skills in dontbesilent2025/dbskill. Commands read from the repo's manifest — 2 days ago.
dbs-goal提取已有约束,只追问影响执行或验收的信息,把模糊愿望整理成可行动、可检查的交付目标。用户要明确做成什么、边界和验收标准时使用;不替代概念拆解或研究问题改写。
dontbesilent 商业工具箱的技能调度台,根据当前问题和反馈选择下一步,在对话中直接执行、澄清、组合或对照尝试 Skill。用户不知道从哪里开始、需要调整处理方法、第一次使用 dbskill、输入三位编号或查询隐藏款目录时使用;仅需推荐或可复制提示词时按请求交付。
1 skill
用阿德勒心理学框架诊断执行阻滞。用户知道该做什么却迟迟不做、反复拖延或行动中断时使用。
1 skill
扫描公众号长文、短视频文稿、推文等文案中的 AI 写作特征并输出检测报告,默认只诊断不改写;用户看完报告说「我想改」后,逐条追问写法背后的意图并给出修改方向。用户要求检查 AI 味、AI 痕迹或机器化表达时使用。
1 skill
用五重过滤法寻找值得模仿的对标,并排除主体差异造成的噪音。用户要求找对标、选择模仿对象或分析竞争参照时使用。
1 skill
根据话题推荐或接受用户指定的专家,模拟多角色对话并总结分歧。用户要求专家讨论、定向聊天室或继续当前讨论时使用。
1 skill
由哈耶克、米塞斯与 Claude 从奥派经济学视角展开多角色讨论。用户要求进入奥派聊天室或用奥派分析问题时使用。
1 skill
Long-horizon goal planning, deep research orchestration, and adaptive replanning using GOAP
5 skills · 1 command · 4 agents
Teamwork Graph CLI is Atlassian's agent-first interface to your entire work context: Jira issues, Confluence pages, Bitbucket PRs, along with your connected third-party data sources. Purpose-built for coding agents like Claude Code (terminal or desktop), and powered by Atlassian's context graph. Try: "draft a Jira issue from this PR and link it to the epic." Using Claude Code in the browser? Install the Atlassian Rovo MCP plugin instead. Run /twg-setup after install to connect Atlassian Teamwork Graph CLI to Claude Code.
1 skill
Drive the Superself `self` CLI: version control for a project's state (goals, decisions, work units, reports) kept outside the code repo, so a session reads context at start, reports with evidence, and the next session picks up where this one left off
1 skill
Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs-goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).
6 skills · 8 commands · 4 agents · hooks
Drafts copy-ready /goal commands for goal mode in Claude Code and Codex: verifiable completion conditions with stop bounds, normalized to a single line under the 4,000-character cap.
1 skill
Plan customer discovery interviews with the right goal, segment, constraints, and method.
1 skill
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