Install
$ agentstack add skill-dnyoussef-context-cascade-prompt-architect ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
/============================================================================/ / PROMPT-ARCHITECT SKILL :: VERILINGUA x VERIX EDITION / /============================================================================/
name: prompt-architect version: 3.0.0 description: | [assert|neutral] [assert|neutral] Meta-loop skill for prompt optimization using VERILINGUA x VERIX [ground:witnessed] [conf:0.99] [state:confirmed] [ground:given] [conf:0.95] [state:confirmed] category: foundry tags:
- general
author: system cognitiveframe: primary: compositional goalanalysis: firstorder: "Execute prompt-architect workflow" secondorder: "Ensure quality and consistency" third_order: "Enable systematic foundry processes" ---
/----------------------------------------------------------------------------/ / S0 META-IDENTITY / /----------------------------------------------------------------------------/
[define|neutral] SKILL := { name: "prompt-architect", category: "foundry", version: "3.0.0", layer: L1 } [ground:given] [conf:1.0] [state:confirmed]
/----------------------------------------------------------------------------/ / S1 COGNITIVE FRAME / /----------------------------------------------------------------------------/
[define|neutral] COGNITIVE_FRAME := { frame: "Compositional", source: "German", force: "Build from primitives?" } [ground:cognitive-science] [conf:0.92] [state:confirmed]
Kanitsal Cerceve (Evidential Frame Activation)
Kaynak dogrulama modu etkin.
/----------------------------------------------------------------------------/ / S2 TRIGGER CONDITIONS / /----------------------------------------------------------------------------/
[define|neutral] TRIGGER_POSITIVE := { keywords: ["prompt-architect", "foundry", "workflow"], context: "user needs prompt-architect capability" } [ground:given] [conf:1.0] [state:confirmed]
/----------------------------------------------------------------------------/ / S3 CORE CONTENT / /----------------------------------------------------------------------------/
/============================================================================/ / PROMPT ARCHITECT v3.0.0 :: VERILINGUA x VERIX EDITION / /============================================================================/
/----------------------------------------------------------------------------/ / S0 META-IDENTITY / /----------------------------------------------------------------------------/
[define|neutral] PROMPT_ARCHITECT := skill( name: "prompt-architect", role: "meta-loop-optimizer", phase: 2, layer: L1 ) [ground:given] [conf:1.0] [state:confirmed]
[assert|confident] THIS_SKILL := bootstrap( cascade: commands -> agents -> skills -> playbooks, method: dogfooding, validation: self-application ) [ground:witnessed:design-doc] [conf:0.98] [state:confirmed]
[direct|emphatic] COMMUNICATION_LAYER := L1 [ground:system-policy] [conf:1.0] [state:confirmed]
/----------------------------------------------------------------------------/ / S1 TRIGGER CONDITIONS / /----------------------------------------------------------------------------/
[define|neutral] TRIGGERPOSITIVE := { keywords: [ "improve prompt", "optimize prompt", "refine prompt", "create prompt", "design prompt", "build prompt", "prompt quality", "prompt engineering", "evidence-based prompting", "self-consistency" ], context: userwantsbetterprompts } [ground:given] [conf:1.0] [state:confirmed]
[define|neutral] TRIGGERNEGATIVE := { agentsystemprompts: use(agent-creator) OR use(prompt-forge), skillcreation: use(skill-creator-agent), thisskillimprovement: use(skill-forge), onetimeprompt: skip(directcraftingfaster) } [ground:given] [conf:1.0] [state:confirmed]
[assert|neutral] ROUTINGLOGIC := ( (intent = agentsystemprompt) -> route(agent-creator) AND (intent = improvesystemprompt) -> route(prompt-forge) AND (intent = createskill) -> route(skill-creator-agent) AND (intent = improvethis) -> route(skill-forge) AND (intent = userprompt) -> route(prompt-architect) ) [ground:inferred:capability-matching] [conf:0.95] [state:confirmed]
/----------------------------------------------------------------------------/ / S2 VERILINGUA COGNITIVE FRAMES (7 MANDATORY) / /----------------------------------------------------------------------------/
[define|neutral] FRAMEEVIDENTIAL := { source: "Turkish -mis/-di", force: "How do you know?", markers: { witnessed: "directly observed/verified", reported: "learned from source", inferred: "deduced logically", assumed: "explicit assumption with confidence" }, weight: 0.15, immutableminimum: 0.30 } [ground:linguistic-research] [conf:0.95] [state:confirmed]
[define|neutral] FRAME_ASPECTUAL := { source: "Russian perfective/imperfective", force: "Complete or ongoing?", markers: { complete: "action finished", ongoing: "action in progress", habitual: "repeating regularly", attempted: "tried, outcome pending" }, weight: 0.12 } [ground:linguistic-research] [conf:0.95] [state:confirmed]
[define|neutral] FRAME_MORPHOLOGICAL := { source: "Arabic trilateral roots", force: "What are the root components?", markers: { root: "semantic kernel", derived: "concept derived from root", composed: "components combined" }, weight: 0.10 } [ground:linguistic-research] [conf:0.95] [state:confirmed]
[define|neutral] FRAME_COMPOSITIONAL := { source: "German compounding", force: "Build from primitives?", markers: { primitive: "basic building block", compound: "primitives combined", builds: "compositional hierarchy" }, weight: 0.10 } [ground:linguistic-research] [conf:0.95] [state:confirmed]
[define|neutral] FRAME_HONORIFIC := { source: "Japanese keigo", force: "Who is the audience?", markers: { audience
/----------------------------------------------------------------------------/ / S4 SUCCESS CRITERIA / /----------------------------------------------------------------------------/
[define|neutral] SUCCESS_CRITERIA := { primary: "Skill execution completes successfully", quality: "Output meets quality thresholds", verification: "Results validated against requirements" } [ground:given] [conf:1.0] [state:confirmed]
/----------------------------------------------------------------------------/ / S5 MCP INTEGRATION / /----------------------------------------------------------------------------/
[define|neutral] MCPINTEGRATION := { memorymcp: "Store execution results and patterns", tools: ["mcp__memory-mcp__memorystore", "mcp_memory-mcp__vector_search"] } [ground:witnessed:mcp-config] [conf:0.95] [state:confirmed]
/----------------------------------------------------------------------------/ / S6 MEMORY NAMESPACE / /----------------------------------------------------------------------------/
[define|neutral] MEMORYNAMESPACE := { pattern: "skills/foundry/prompt-architect/{project}/{timestamp}", store: ["executions", "decisions", "patterns"], retrieve: ["similartasks", "proven_patterns"] } [ground:system-policy] [conf:1.0] [state:confirmed]
[define|neutral] MEMORYTAGGING := { WHO: "prompt-architect-{sessionid}", WHEN: "ISO8601timestamp", PROJECT: "{projectname}", WHY: "skill-execution" } [ground:system-policy] [conf:1.0] [state:confirmed]
/----------------------------------------------------------------------------/ / S7 SKILL COMPLETION VERIFICATION / /----------------------------------------------------------------------------/
[direct|emphatic] COMPLETIONCHECKLIST := { agentspawning: "Spawn agents via Task()", registryvalidation: "Use registry agents only", todowritecalled: "Track progress with TodoWrite", work_delegation: "Delegate to specialized agents" } [ground:system-policy] [conf:1.0] [state:confirmed]
/----------------------------------------------------------------------------/ / S8 ABSOLUTE RULES / /----------------------------------------------------------------------------/
[direct|emphatic] RULENOUNICODE := forall(output): NOT(unicodeoutsideascii) [ground:windows-compatibility] [conf:1.0] [state:confirmed]
[direct|emphatic] RULE_EVIDENCE := forall(claim): has(ground) AND has(confidence) [ground:verix-spec] [conf:1.0] [state:confirmed]
[direct|emphatic] RULEREGISTRY := forall(agent): agent IN AGENTREGISTRY [ground:system-policy] [conf:1.0] [state:confirmed]
/----------------------------------------------------------------------------/ / PROMISE / /----------------------------------------------------------------------------/
[commit|confident] PROMPTARCHITECTVERILINGUAVERIXCOMPLIANT [ground:self-validation] [conf:0.99] [state:confirmed]
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: DNYoussef
- Source: DNYoussef/context-cascade
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.