double-diamond
Universal multi-agent orchestration workflow based on the Double Diamond framework (Inception -> Discovery -> Definition -> Development -> Delivery). Coordinates parallel subagents with context isolation to separate problem-space research from solution-space implementation. Activ
Asset-Profil
Recherche und Wissensarbeit
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Szenario
Recherche-Agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent-Fit
Claude Code + CLI + Codex
Geeignet für Codex, Claude Code, Cursor, CLI oder benutzerdefinierte Agents.
Installieren
Bereit
npx skills add danicat/skills --skill double-diamond
Wartung
Aktuell
Heute gepusht
Risiko
Prüfung nötig
Financial research output is not financial advice; require human review before any live investment decision
GitHub-Qualität
16
59/100 Qualität · 69/100 Vertrauen
Abdeckungs-Tags
Review-Notizen
Financial research output is not financial advice; require human review before any live investment decision · No critical security issues found. The skill is a workflow description and does not include any executable code or instructions that could lead to unsafe actions.
Agent-Adoptionskarte
Vertrauen, Audit und Installationsbereitschaft auf einen Blick
Diese Werte kombinieren öffentliche Repository-Metadaten, OpenAgentSkill-Reviewsignale, Wartungsaktualität und Installationsbereitschaft. Sie helfen bei der Vorauswahl, ersetzen aber keine menschliche Prüfung.
Qualität
VielversprechendUseful candidate, but compare it with alternatives before adopting.
Vertrauen
Nur SandboxNützlicher Kandidat mit fehlenden oder gemischten Vertrauenssignalen. Bis der Ergebniszyklus die Passung belegt, in einem isolierten Arbeitsbereich verwenden.
Audit
Prüfung nötigMaschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.
OpenAgentSkill Trust Score v5
Menschliche Prüfung vor Installation
Nur in einer Sandbox ausführen und nahe Alternativen vergleichen, bevor sie produktiv eingesetzt wird.
Stars
16 GitHub-Stars
Repository-Aktivität
16 Stars und 3 Forks
Wartung
Heute gepusht
Lizenz
Apache-2.0
Installieren
npx skills add danicat/skills --skill double-diamond
Installationssicherheit
Standard-Paket- oder Laufzeit-Installationspfad
Berechtigungsfläche
filesystem or document access, network or browser access
Agent-Ergebnisse
Noch keine Agent-Ergebnisdaten
Dokumentation
Usable metadata, review docs
Risikoübersicht
Vor Produktion prüfen
- No critical security issues found. The skill is a workflow description and does not include any executable code or instructions that could lead to unsafe actions.
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
Installationsbereitschaft
Installationspfad verfügbar
- Installationspfad ist verfügbar
- Repository-Belege sind verfügbar
- Lizenz ist angegeben
- Noch keine Agent-Proven-Ergebnisbelege
Agent-lesbare Metadaten
Maschinenlesbare Entscheidungsdaten für diesen Skill.
Nutze diesen Block oder das eingebettete JSON, um zu entscheiden, ob ein Agent diesen Skill installieren, eine Alternative wählen oder zuerst menschliche Prüfung anfordern soll.
Geeignete Aufgaben
- Research-Agent-Workflows
- Claude-Code-Teams
- builders willing to evaluate younger projects
- Suchquellen
Geeignete Agents
Installationsentscheidung
- Befehl
- npx skills add danicat/skills --skill double-diamond
- Richtlinie
- Prüfen
- Menschliche Prüfung
- Ja
Vertrauen und Risiko
- Vertrauen
- 61/100
- Audit
- 75/100
- Risikoebene
- Prüfung nötig
Ergebnis-Loop
- Endpoint
- /api/agent/outcome
- Event-ID
- resolve
- Ergebnisse
- 5
Installationsbefehl
npx skills add danicat/skills --skill double-diamondNicht verwenden, wenn
- Teams, die ein vom Anbieter unterstütztes SLA benötigen
- production agents without a repository review
- Low GitHub adoption signal
- No critical security issues found. The skill is a workflow description and does not include any executable code or instructions that could lead to unsafe actions.
- No OpenAgentSkill engagement data yet
Alternative
Last30days Skill
53.5K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
Academic Research Skills
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
GPT Researcher
28.0K Stars
npx skills add assafelovic/gpt-researcher
Alternative
DeepResearch
19.8K Stars
npx skills add Alibaba-NLP/DeepResearch
Agent-Sicherheit v2
55/100 · Vor Installation prüfen
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Mittel
Browser automation
Skill may drive a browser or interact with web pages.
Mittel
Netzwerkzugriff
Die Skill ruft wahrscheinlich Remote-Seiten, APIs, Repositories oder externe Dienste ab.
Mittel
Dateisystemzugriff
Die Skill kann Projektdateien, Dokumente, generierte Artefakte oder den lokalen Arbeitsbereich lesen oder schreiben.
- Financial research output is not financial advice; require human review before any live investment decision
Installationsziele
Diesen Skill im Agent-Workflow installieren
Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install danicat-double-diamondAgent-Auflösungsplan
Lass einen Agent die Eignung vor der Installation prüfen.
Die Resolve API liefert die beste Skill, Alternativen, Sicherheitsrichtlinien, Auditnotizen, Installationsziel und einen direkt nutzbaren Prompt.
JSON öffnen
/api/agent/resolve?task=Use%20double-diamond%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve-Text
/api/agent/resolve?task=Use%20double-diamond%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Installationsübergabe
/api/skills/danicat-double-diamond/install
Agent sollte prüfen
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Prompt kopieren
Task: Use double-diamond in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20double-diamond%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/danicat-double-diamond/install
Install command: npx skills add danicat/skills --skill double-diamond
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent-Übergabe
Gib dem Agent den Installationspfad, nicht noch ein Verzeichnis.
Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.
Installationsübergabe
/api/skills/danicat-double-diamond/install
LLM-Textformat
/api/skills/danicat-double-diamond/install?format=text
Alternativen finden
/api/skills/search?q=double-diamond&limit=3
Agent-Prompt
Use double-diamond for this task. Review https://www.openagentskill.com/api/skills/danicat-double-diamond/install, then install with: npx skills add danicat/skills --skill double-diamondRegistry-Metadaten
Agent-lesbares Profil für die automatische Skill-Auswahl.
Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Manifest
/api/registry/manifest/danicat-double-diamond
LLM-Text
/api/registry/manifest/danicat-double-diamond?format=text
Installationsalias
/api/registry/install/danicat-double-diamond
Empfehlen
/api/registry/recommend?task=Use%20double-diamond%20in%20an%20agent%20workflow&limit=3
Agent-Fit
Recherche-Agents
Plattformen
Claude Code
Audit-Bericht
Prüfung nötig · 75/100
Maschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.
Agent-Entscheidungspanel
Fallback candidate for Research agents
Prototype with this skill first; keep a fallback candidate ready.
Rolle im Stack
Fallback-Kandidat
Primäre Eignung
Recherche-Agents
Vertrauenslabel
Zuerst prototypisieren
Installationspfad
Befehl bereit
Verwenden wenn
- Research-Agent-Workflows
- Claude-Code-Teams
- builders willing to evaluate younger projects
Evidenz
- recent repository activity
- install command or GitHub repo available
- Qualitätsprofil 59/100
zuerst prüfen
- Low GitHub adoption signal
- No critical security issues found. The skill is a workflow description and does not include any executable code or instructions that could lead to unsafe actions.
- No OpenAgentSkill engagement data yet
Implementierungspfad
- 1Installieren Sie es in einem Sandbox-Agent und führen Sie eine Recherche-Agents-Aufgabe vollständig aus.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Vertrauensprofil
Nur Sandbox
Nützlicher Kandidat mit fehlenden oder gemischten Vertrauenssignalen. Bis der Ergebniszyklus die Passung belegt, in einem isolierten Arbeitsbereich verwenden.
GitHub-Akzeptanz
Beheben16 GitHub-Stars
Star-/Fork-Aktivität
Beheben16 Stars und 3 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Aktuelle Wartung
BestandenHeute gepusht
Lizenzklarheit
BestandenApache-2.0
Positive Signale
- KI-Prüfung genehmigt
- Installationspfad ist verfügbar
- Repository-Belege sind verfügbar
- Kürzlich gewartetes Repository
- Der Installationsbefehl weist kein offensichtliches Hochrisikomuster auf
- Ergebniszyklus ist bereit, benötigt aber den ersten echten Agent-Lauf
Vor Installation prüfen
- No critical security issues found. The skill is a workflow description and does not include any executable code or instructions that could lead to unsafe actions.
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 16 GitHub stars
- Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata
- Noch keine echten Agent-Ergebnisberichte
- Vor unbeaufsichtigter Installation ist menschliche Prüfung erforderlich
Empfohlene Aktion
Nur in einer Sandbox ausführen und nahe Alternativen vergleichen, bevor sie produktiv eingesetzt wird.
Qualitätsprofil
Vielversprechend Kandidat für Agent-Workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow-Eignung
Diese Skill in diesen Szenarien nutzen
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
Workflow-Eignung
Zum vollständigen Workflow hinzufügen
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternativen-Shortlist
Vor Installation vergleichen
Similar skills that may fit this task.
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
Übersicht
--- name: double-diamond description: > Universal multi-agent orchestration workflow based on the Double Diamond framework (Inception -> Discovery -> Definition -> Development -> Delivery). Coordinates parallel subagents with context isolation to separate problem-space research from solution-space implementation. Activate for complex, high-ambiguity initiatives across software engineering, in-depth research, long-form writing, legal analysis, or product strategy requiring structured human alignment gates. license: Apache-2.0 metadata: category: agents tags: "orchestration, workflow, research, planning, subagents, agile" author: Daniela Petruzalek (daniela@danicat.dev) version: "0.2.0" catalog: https://skills.danicat.dev ---
# Double-Diamond Multi-Agent Orchestration
The `double-diamond` skill coordinates complex, high-ambiguity initiatives through the proven **Double Diamond** framework, preceded by an **Inception** alignment phase. It leverages **parallel subagents with context isolation** to thoroughly explore the problem space before committing to solution-space implementation.
``` INCEPTION PHASE (Pre-Diamond Alignment) /grill-me User Interview Establish Shared Understanding │ ▼ DIAMOND 1: PROBLEM SPACE DIAMOND 2: SOLUTION SPACE (Research & Exploration) (Creation & Verification)
/--- Discovery (Diverge) ---\ /--- Development (Diverge) ---\ / Parallel `research` sub- \ / Parallel creation sub- \ / agents explore landscape, \ / agents craft disjoint \ Start > constraints & prior art > Brief > sections/modules in parallel > Delivery \ / Gate \ / (Gates) \--- Definition (Converge) --/ \--- Delivery (Converge) ----/ Synthesize findings into Holistic review, integration, a Foundation Document and quality gate verification ```
---
## 🌐 Universal Domain Mapping
Double Diamond adapts seamlessly across technical, creative, and analytical domains:
| Phase | Software Engineering | Writing & Publishing | Legal & Policy Research | Product & Strategy | | :--- | :--- | :--- | :--- | :--- | | **0. Inception** | Stack, constraints, latency, scope | Audience, tone, thesis, length | Jurisdiction, case theory, facts | Market, user persona, success metrics | | **1. Discover** *(Diverge)* | Codebase, APIs, edge cases | Background research, angles, data | Precedents, statutes, case law | Competitor analysis, customer interviews | | **2. Define** *(Converge)* | Technical Specification | Structured Editorial Outline | Legal Brief / Argument Structure | PRD / Feature Specification | | **Steering Gate** | Approve architecture & trade-offs | Approve thesis & outline | Approve legal theory & approach | Sign off on product direction | | **3. Develop** *(Diverge)* | Parallel module implementation | Parallel chapter/section drafting | Parallel argument/motion drafting | Parallel prototype/stream exploration | | **4. Deliver** *(Converge)* | Build, tests, lint, spec compliance | Fact-check, style, voice, flow | Citation audit, counter-arguments | Executive synthesis, launch readiness |
---
## ⚡ Core Principles & Operational Rules
1. **Pre-Diamond Inception (Alignment Gate):** - Before launching research divergence, the Coordinator executes an **Inception** phase via the `/grill-me` interactive interview protocol (using `ask_question`). - The Coordinator explores the existing environment/context first, then interviews the user about goals, constraints, non-negotiables, target audience, and deliverable modality. 2. **Two Distinct Diamond Phases (Problem Space vs. Solution Space):** - **Diamond 1 (Problem Space):** Focuses exclusively on reconnaissance, constraint mapping, dependency analysis, and definition. No final deliverable code or prose is authored during Diamond 1. - **Diamond 2 (Solution Space):** Focuses on parallel creation against the approved definition, followed by rigorous quality gating. 3. **Context Isolation via Subagents:** - Deep exploration and multi-track creation happen in isolated subagent contexts (`research` for read-only exploration, `self` for creation). This prevents context pollution and hallucination in the Coordinator's session. 4. **Mandatory User Steering Gate (Human-in-the-Loop Alignment):** - Between Diamond 1 and Diamond 2, the Coordinator halts to present the synthesized **Foundation Document** (Spec, Outline, Brief, or PRD) and trade-offs to the user for explicit review and confirmation. 5. **Disjoint Work Allocation (Zero Collision):** - In Diamond 2 (Development), parallel creator subagents receive strictly disjoint assignments (e.g., distinct source files, separate article sections, independent legal claims) to prevent overwrite collisions. 6. **Domain-Specific Delivery Quality Gates:** - Work is not delivered until all domain-specific quality gates pass: structural integrity, localized unit/section verification, holistic consistency, and compliance with the approved Foundation Document.
---
## 🎯 Agent Budget & Degree of Parallelism (DOP)
* **Definition**: **Agent Budget** is synonymous with **Degree of Parallelism (DOP)**. It defines the maximum number of **active, concurrent subagents** allowed to execute at the exact same time. * **Active vs. Past Capacity**: Completed or terminated subagents do **not** consume budget. The budget applies strictly to currently running subagents. When a subagent completes its work, its concurrency slot is immediately freed. * **Elastic Scaling**: While the baseline default is $\text{DOP} = 4$, the framework scales elastically to any user-requested budget (e.g., $\text{DOP} = 10, 20, 50+$) for massive parallel surveys, parameter sweeps, or multi-module initiatives. * **High-DOP High-Signal Mandate (Micro-Probe Rule)**: When operating with elevated concurrency ($\text{DOP} \ge 8$), subagents must act as focused micro-probes. The Coordinator instructs subagents to return dense, high-signal, structured summaries ($\le 150$ words or tabular format) rather than verbose essays, enabling clean Map-Reduce synthesis without context dilution.
### Recommended Baseline Sizing:
| Initiative Scale | Agent Budget ($\text{DOP}$) | Active Discovery Workers | Active Creation Workers | Typical Scope | | :--- | :---: | :---: | :---: | :--- | | **Focused / Targeted** | **2** | **2** (Landscape + Standards) | **2** (Core + Surface) | Single module, short article, targeted feature | | **Standard (Default)** | **4** | **4** (Landscape, Standards, Edge Cases, Comparative) | **4** (WPs 1–4 disjoint modules/sections) | Multi-module service, comprehensive whitepaper, PRD | | **Complex / Deep** | **6–8+** | **6–8+** (Subsystem reconnaissance / micro-probes) | **6–8+** (Distributed package authors) | Full architectural rewrite, multi-chapter publication | | **Massive Swarm** | **20–50+** | **20–50+** (Broad API surveys, micro-benchmarks, fuzzing) | **20–50+** (Massive parallel module/asset generation) | Wide ecosystem sweeps, multi-file migrations |
---
## 📡 Non-Blocking Coordinator & Reactive Concurrency
The Coordinator is the primary conversational interface and strategic conductor. It must remain **permanently unblocked** to respond to user messages at any point during execution.
1. **Role Separation (Delegation over Execution):** - The Coordinator orchestrates, synthesizes, and interfaces with the user. It **never** blocks itself with long, sequential manual execution—heavy exploration and drafting are delegated to subagents. 2. **Fire-and-Yield Concurrency:** - When the Coordinator spawns subagents via `invoke_subagent`, it **immediately halts tool calls to end its turn**. It never loops, sleeps, or polls. 3. **Always Unblocked for User Queries:** - Because the Coordinator never enters busy-wait polling loops, it is always available to process incoming user messages while subagents work in the background: - **Status Inquiries**: The Coordinator can immediately provide progress updates or inspect active workers via `manage_subagents (Action="list")`. - **In-Flight Steering / Scope Changes**: If the user provides new constraints or changes requirements mid-run, the Coordinator can steer active subagents via `send_message` or cancel/restart them via `manage_subagents (Action="kill")`. 4. **Automatic Reactive Wakeup:** - When subagents finish their tasks, the messaging platform automatically wakes up the Coordinator with their full results.
---
## 🧭 The 6-Step Double-Diamond Workflow
### 1. Step 0: Inception (Pre-Diamond Alignment) * Coordinator activates the `/grill-me` protocol, systematically interviewing the user one decision node at a time via `ask_question`. * Explores existing materials first, then clarifies scope boundaries, deliverable modality, non-negotiables, and user preferences. * **Reference Guide:** Read [`references/inception_phase.md`](references/inception_phase.md) for interview patterns and decision-tree traversal.
### 2. Step 1: Discover (Diamond 1 Divergence) * Coordinator decomposes the problem space into up to $\text{DOP}$ orthogonal exploration vectors (e.g., Landscape reconnaissance, Standards & APIs, Constraints & Failure modes, Prior art). * Spawns parallel `research` subagents using `invoke_subagent` and immediately yields execution. * **Reference Guide:** Read [`references/research_phase.md`](references/research_phase.md) for vector decomposition and prompt templates.
### 3. Step 2: Define (Diamond 1 Convergence) * Coordinator synthesizes research reports into a unified **Foundation Document** (Technical Specification, Editorial Outline, Legal Brief, or PRD). * Establishes system contracts, interfaces, chapter structure, or argument trees, alongside disjoint work package allocations. * **Document Template:** Populate [`assets/specification_template.md`](assets/specification_template.md) with research synthesis and work breakdowns.
### 4. Step 3: User Steering Gate (Interactive Alignment) * Coordinator presents the executive summary, draft Foundation Document, and architectural/editorial trade-offs to the user. * Solicits user feedback, resolves decision forks, and obtains explicit confirmation before proceeding to creation.
### 5. Step 4: Develop (Diamond 2 Divergence) * Coordinator spawns up to $\text{DOP}$ parallel creator subagents (`self` subagents with write & tool access) and immediately yields execution. * Each creator receives a strictly disjoint Work Package (WP) and executes localized verification: - **Software**: Package-scoped unit tests (`go test ./internal/pkg/...`, `pytest tests/unit/`, `npm test -- src/pkg/`). - **Writing**: Section drafting against word count, tone, and source citations. - **Legal/Policy**: Argument drafting with case citations and statutory cross-referencing. * **Reference Guide:** Read [`references/development_phase.md`](references/development_phase.md) for disjoint allocation and creator prompt templates.
### 6. Step 5: Deliver (Diamond 2 Convergence & Quality Gating) * Coordinator integrates all parallel deliverables into a coherent whole and executes end-to-end verification. * **Failure Recovery Protocol**: If any integration test, fact-check, or consistency check fails: 1. Isolate the failing component and review specific error traces or discrepancies. 2. Launch a targeted repair subagent with the exact context and interface contract. 3. Re-verify all delivery gates until 100% pass before presenting the final deliverable to the user.
---
## ⚠️ Common Gotchas & Antipatterns
1. **Skipping Inception & As
Technische Details
- Version
- 1.0.0
- Lizenz
- Apache-2.0
- Letzte Aktualisierung
- 24. Aug. 2026
- Veröffentlicht
- 24. Aug. 2026
Entscheidungsübersicht
Fallback-Kandidat
recent repository activity
Audit
Installationsprüfung
Installations- und Adoptionsprüfung
- Sicherheit
- 78/100
- Wartung
- 100/100
- Installieren
- 92/100
Von Agent belegte Evidenz
Von Agent belegte Evidenz
Ergebnisberichte nach Resolve, Prüfung, Installation und einem begrenzten Lauf.
- Erfolgsrate
- —
- Letzter Fehler
- —
- Ergebnisse
- 0
- Ausgabequalität
- —
- Fehlgeschlagen
- 0
- Nicht relevant
- 0
- Installationen
- 0
- Durch Risiko blockiert
- 0
- Einrichtung erforderlich
- 0
- Produktion
- 0
Noch keine Agent-Ergebnisdaten. Der erste Lauf kann Erfolg, Einrichtungsbedarf, Risikoblockaden, Fehler oder Irrelevanz über /api/agent/outcome melden.
Installieren
Zum Agent-Workflow hinzufügen
Kostenlos und Open Source. Bericht vor der Installation in Produktions-Agents prüfen.
Wachstums-Loop
Share-Kit
Szenariobasierter Entwurf für double-diamond, bereit für einen manuellen X-Post.
double-diamond: Universal multi-agent orchestration workflow based on the Double Diamond framework (Inception... 16 stars https://www.openagentskill.com/skills/danicat-double-diamond?ref=x
Optionale Antwort mit Installationsbefehl
Listing + install path for double-diamond: https://www.openagentskill.com/skills/danicat-double-diamond?ref=x Install: npx skills add danicat/skills --skill double-diamond
Quelle des Eintrags
Registry-indexiert
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- danicat
- Quelle
- danicat/skills
- Indexiert von
- OpenAgentSkill Community-Index
Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.
Diesen Skill beanspruchenEigentümeranspruch
Diesen Skill-Eintrag beanspruchen
Dieser Registry-indexiert-Eintrag wird danicat zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.
Creator-Backlink-Kit
Evidenz-Badges in deine README einfügen
Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.
[](https://www.openagentskill.com/skills/danicat-double-diamond)
[](https://www.openagentskill.com/skills/danicat-double-diamond)
[](https://www.openagentskill.com/skills/danicat-double-diamond/audit)
[](https://www.openagentskill.com/skills/danicat-double-diamond)Autor
danicat
@danicat
Tags
Plattform-Fit
Gesundheitssignale
- GitHub-Stars
- 16
- Qualitätswert
- 32/100
- Letzter GitHub-Push
- 23. Aug. 2026
- Framework-Hinweise
- Unbekannt
- OpenAgentSkill-Aufrufe
- 0
- Installationskopien
- 0
- Externe Klicks
- 0
Community-Signal
Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.
Vertrauen & Sicherheit
Nur Sandbox
- GitHub-Akzeptanz16 GitHub-StarsBeheben
- Star-/Fork-Aktivität16 Stars und 3 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbarBeheben
- Aktuelle WartungHeute gepushtBestanden
- LizenzklarheitApache-2.0Bestanden
- README/SKILL.md-VollständigkeitÖffentliche Metadaten benötigen mehr README/SKILL.md-KontextInfo
- Abhängigkeits-/Laufzeitrisikonetwork or browser surfaceBestanden
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