Data Structure Protocol (DSP) workflow skill. Use this skill when the user needs Give agents persistent structural memory of a codebase \u2014 navigate dependencies, track public APIs, and understand why connections exist without re-reading the whole repo and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
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Data Structure Protocol (DSP) workflow skill. Use this skill when the user needs Give agents persistent structural memory of a codebase \u2014 navigate dependencies, track public APIs, and understand why connections exist without re-reading the whole repo and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
This public intake copy packages plugins/antigravity-awesome-skills/skills/data-structure-protocol from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.
Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.
This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.
Data Structure Protocol (DSP) LLM coding agents lose context between tasks. On large codebases they spend most of their tokens on "orientation" — figuring out where things live, what depends on what, and what is safe to change. DSP solves this by externalizing the project's structural map into a persistent, queryable graph stored in a .dsp/ directory next to the code. DSP is NOT documentation for humans and NOT an AST dump. It captures three things: meaning (why an entity exists), boundaries (what it imports and exposes), and reasons (why each connection exists). This is enough for an agent to navigate, refactor, and generate code without loading the entire source tree into the context window.
Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Core Concepts, How It Works, Integration, Limitations.
When to Use This Skill
Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.
The project has a .dsp/ directory (DSP is already set up)
The user asks to set up DSP, bootstrap, or map a project's structure
Creating, modifying, or deleting code files in a DSP-tracked project (to keep the graph updated)
Navigating project structure, understanding dependencies, or finding specific modules
The user mentions DSP, dsp-cli, .dsp, or structure mapping
Performing impact analysis before a refactor or dependency replacement
Operating Table
Situation
Start here
Why it matters
First-time use
metadata.json
Confirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow
Provenance review
ORIGIN.md
Gives reviewers a plain-language audit trail for the imported source
Workflow execution
SKILL.md
Starts with the smallest copied file that materially changes execution
Supporting context
SKILL.md
Adds the next most relevant copied source file without loading the entire package
Handoff decision
## Related Skills
Helps the operator switch to a stronger native skill when the task drifts
Workflow
This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.
Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
Read the overview and provenance files before loading any copied upstream support files.
Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
Validate the result against the upstream expectations and the evidence you can point to in the copied files.
Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.
Before merge or closure, record what was used, what changed, and what the reviewer still needs to verify.
Imported Workflow Notes
Imported: Core Concepts
Code = graph
DSP models the codebase as a directed graph. Nodes are entities, edges are imports and shared/exports.
Two entity kinds exist:
Object: any "thing" that isn't a function (module/file/class/config/resource/external dependency)
Function: an exported function/method/handler/pipeline
Identity by UID, not by file path
Every entity gets a stable UID: obj-<8hex> for objects, func-<8hex> for functions. File paths are attributes that can change; UIDs survive renames, moves, and reformatting.
For entities inside a file, the UID is anchored with a comment marker in source code:
When an import is recorded, DSP stores a short reason explaining why that dependency exists. This lives in the exports/ reverse index of the imported entity. A dependency graph without reasons tells you what imports what; reasons tell you what is safe to change and who will break.
Storage format
Each entity gets a small directory under .dsp/:
.dsp/
├── TOC # ordered list of all entity UIDs from root
├── obj-a1b2c3d4/
│ ├── description # source path, kind, purpose (1-3 sentences)
│ ├── imports # UIDs this entity depends on (one per line)
│ ├── shared # UIDs of public API / exported entities
│ └── exports/ # reverse index: who imports this and why
│ ├── <importer_uid> # file content = "why" text
│ └── <shared_uid>/
│ ├── description # what is exported
│ └── <importer_uid> # why this specific export is imported
└── func-7f3a9c12/
├── description
├── imports
└── exports/
Everything is plain text. Diffable. Reviewable. No database needed.
Full import coverage
Every file or artifact that is imported anywhere must be represented in .dsp as an Object — code, images, styles, configs, JSON, wasm, everything. External dependencies (npm packages, stdlib, etc.) are recorded as kind: external but their internals are never analyzed.
Examples
Example 1: Ask for the upstream workflow directly
Use @data-structure-protocol-v2 to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.
Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.
Example 2: Ask for a provenance-grounded review
Review @data-structure-protocol-v2 against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.
Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.
Example 3: Narrow the copied support files before execution
Use @data-structure-protocol-v2 for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.
Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.
Example 4: Build a reviewer packet
Review @data-structure-protocol-v2 using the copied upstream files plus provenance, then summarize any gaps before merge.
Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.
Imported Usage Notes
Imported: Examples
Example 1: Setting up DSP and documenting a module
Example 3: Impact analysis before replacing a library
python dsp-cli.py --root . find-by-source "lodash"# Output: obj-11223344
python dsp-cli.py --root . get-recipients obj-11223344
# Shows every module that imports lodash and WHY — lets you systematically replace it
Best Practices
Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.
✅ Do: Update DSP immediately when creating new files, adding imports, or changing public APIs
✅ Do: Always add a meaningful why reason when recording an import — this is where most of DSP's value lives
✅ Do: Use kind: external for third-party libraries without analyzing their internals
✅ Do: Keep descriptions minimal (1-3 sentences about purpose, not implementation)
✅ Do: Treat .dsp/ diffs like code diffs — review them, keep them accurate
❌ Don't: Touch .dsp/ for internal-only changes that don't affect purpose or dependencies
❌ Don't: Change an entity's UID on rename/move (use move-entity instead)
Imported Operating Notes
Imported: Best Practices
✅ Do: Update DSP immediately when creating new files, adding imports, or changing public APIs
✅ Do: Always add a meaningful why reason when recording an import — this is where most of DSP's value lives
✅ Do: Use kind: external for third-party libraries without analyzing their internals
✅ Do: Keep descriptions minimal (1-3 sentences about purpose, not implementation)
✅ Do: Treat .dsp/ diffs like code diffs — review them, keep them accurate
❌ Don't: Touch .dsp/ for internal-only changes that don't affect purpose or dependencies
❌ Don't: Change an entity's UID on rename/move (use move-entity instead)
❌ Don't: Create UIDs for every local variable or helper — only file-level Objects and public/shared entities
Troubleshooting
Problem: The operator skipped the imported context and answered too generically
Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills/skills/data-structure-protocol, fails to mention provenance, or does not use any copied source files at all.
Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.
Problem: The imported workflow feels incomplete during review
Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task.
Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.
Problem: The task drifted into a different specialization
Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better.
Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.
Related Skills
@00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
@00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
@10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
@10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
Additional Resources
Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.
Resource family
What it gives the reviewer
Example path
references
copied reference notes, guides, or background material from upstream
references/n/a
examples
worked examples or reusable prompts copied from upstream
examples/n/a
scripts
upstream helper scripts that change execution or validation
scripts/n/a
agents
routing or delegation notes that are genuinely part of the imported package
agents/n/a
assets
supporting assets or schemas copied from the source package
