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AI Agent Workflow Collection

Skill pack
10 skills0 selected
o3coSkills in this pack

Bootstrap a DPD (Decompose-Propagate Decision) session under the ambient overlay paradigm — DPD is a passive graph overlay that observes ongoing conversation and proposes graph updates collaboratively. Invoke when the user runs /dpd, or proactively suggest when a conversation has accumulated multiple open threads, unanchored decision verbs, or surfaced contradictions that would benefit from explicit graph tracking. Requires the dpd-mcp-server MCP server to be registered with Claude Code.

English

Dump the full DPD graph as text. Default tree format; pass --format=mermaid for mermaid diagram. Use for snapshots, audit, or copy-paste into docs.

English

Manual edit of a DPD node or pool item. Wraps closenode / addnode(provenance='manual') / poolreject / pool unsuppress (= clear rejectedat). Use when user wants direct control beyond ambient mode.

English

Submit DPD dogfood feedback as a GitHub issue. Collects system metadata only (version, OS, agent, Python version, optional stack trace) — does NOT send any session content (no node text, scope, label, Pool, rejected hypotheses, or sessionid). User free-text description is the primary payload. Graph context is opt-in via manual copy-paste only.

English

Generate inferred nodes for the current DPD graph: missing decompositions, unstated assumptions, gap candidates. Each inferred node requires user opt-in. Often paired with /fcot for falsification.

English

Retrieve past closed/archived DPD subgraphs whose FTS5 index matches a query, then distill selected results into graph-candidate proposals. User-pull only — Claude must not auto-invoke. Requires the dpd-mcp-server MCP server.

English

Show current DPD session state: active roots, focus node, Pool items (active + rejected), session mode. Use when user asks "where are we?" or wants a snapshot.

English

Extract decided / closed items from the DPD graph and render as markdown summary. Use at session wrap-up or to produce spec material from a complete subgraph.

English

Externally verify a DPD edge that claims a logically-necessary implication (layer='necessary'), using a context-stripped prompt so an independent verifier judges the implication on its own merits rather than rubber-stamping the agent's framing. Records the verdict via recordedgeverification. Invoke when the user runs /dpd-verify-edge, or proactively suggest at a natural pause when listunverifiededges is non-empty. Requires the dpd-mcp-server MCP server.

English

Import an external prose/spec/graph document as a hypothetical archived DPD subgraph. Used for systematic gap analysis: import → /dpd-fill → /fcot pipeline.

Latin

Includes Dpd Feedback, Dpd Find Similar, Dpd Status, and other workflows.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills10CategorygeneralStars0

What’s included

Dpd

Bootstrap a DPD (Decompose-Propagate Decision) session under the ambient overlay paradigm — DPD is a passive graph overlay that observes ongoing conversation and proposes graph updates collaboratively. Invoke when the user runs /dpd, or proactively suggest when a conversation has accumulated multiple open threads, unanchored decision verbs, or surfaced contradictions that would benefit from explicit graph tracking. Requires the dpd-mcp-server MCP server to be registered with Claude Code.

Dpd Dump

Dump the full DPD graph as text. Default tree format; pass --format=mermaid for mermaid diagram. Use for snapshots, audit, or copy-paste into docs.

Dpd Edit

Manual edit of a DPD node or pool item. Wraps closenode / addnode(provenance='manual') / poolreject / pool unsuppress (= clear rejectedat). Use when user wants direct control beyond ambient mode.

Dpd Feedback

Submit DPD dogfood feedback as a GitHub issue. Collects system metadata only (version, OS, agent, Python version, optional stack trace) — does NOT send any session content (no node text, scope, label, Pool, rejected hypotheses, or sessionid). User free-text description is the primary payload. Graph context is opt-in via manual copy-paste only.

Dpd Fill

Generate inferred nodes for the current DPD graph: missing decompositions, unstated assumptions, gap candidates. Each inferred node requires user opt-in. Often paired with /fcot for falsification.

Dpd Find Similar

Retrieve past closed/archived DPD subgraphs whose FTS5 index matches a query, then distill selected results into graph-candidate proposals. User-pull only — Claude must not auto-invoke. Requires the dpd-mcp-server MCP server.

Dpd Status

Show current DPD session state: active roots, focus node, Pool items (active + rejected), session mode. Use when user asks "where are we?" or wants a snapshot.

Dpd Summary Markdown

Extract decided / closed items from the DPD graph and render as markdown summary. Use at session wrap-up or to produce spec material from a complete subgraph.

Dpd Verify Edge

Externally verify a DPD edge that claims a logically-necessary implication (layer='necessary'), using a context-stripped prompt so an independent verifier judges the implication on its own merits rather than rubber-stamping the agent's framing. Records the verdict via recordedgeverification. Invoke when the user runs /dpd-verify-edge, or proactively suggest at a natural pause when listunverifiededges is non-empty. Requires the dpd-mcp-server MCP server.

Dpd Import

Import an external prose/spec/graph document as a hypothetical archived DPD subgraph. Used for systematic gap analysis: import → /dpd-fill → /fcot pipeline.

Quick start

  1. Choose your skills. Select individual skills above, or choose the entire pack.
  2. Copy the install prompt. Use Copy install prompt above the list.
  3. Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.

Try it with your agent

After installation, start with a request like:

Example request
Use the Dpd skill to help with my task.
Ask me for the context you need before getting started.

Requirements & license

  • A coding agent that can access your project files and install skills.
  • Your agent checks each skill’s instructions, dependencies, and permissions during setup.
  • Reported license for the skills shown: Apache-2.0. The author’s terms apply.
AI Agent Workflow Collection | Agent Skills Atlas