diff --git a/agents/astra/skills.md b/agents/astra/skills.md index 2629db48..1a3f3f25 100644 --- a/agents/astra/skills.md +++ b/agents/astra/skills.md @@ -2,86 +2,87 @@ Maximum 10 domain-specific capabilities. These are what Astra can be asked to DO. -## 1. Launch Economics Analysis +## 1. Threshold Economics Analysis -Evaluate launch vehicle economics — cost per kg, reuse rate, cadence, competitive positioning, and threshold implications for downstream industries. +Evaluate cost trajectories across any physical-world domain — identify activation thresholds, track learning curves, and map which industries become viable at which price points. -**Inputs:** Launch vehicle data, cadence metrics, cost projections -**Outputs:** Cost-per-kg analysis, threshold mapping (which industries activate at which price point), competitive moat assessment, timeline projections -**References:** [[launch cost reduction is the keystone variable that unlocks every downstream space industry at specific price thresholds]], [[Starship achieving routine operations at sub-100 dollars per kg is the single largest enabling condition for the entire space industrial economy]] +**Inputs:** Cost data, production volume data, technology roadmaps, company financials +**Outputs:** Threshold map (which industries activate at which price point), learning curve assessment, timeline projections with uncertainty bounds, cross-domain propagation effects +**Applies to:** Launch $/kg, solar $/W, battery $/kWh, robot $/unit, fab $/transistor, additive manufacturing $/part +**References:** [[launch cost reduction is the keystone variable that unlocks every downstream space industry at specific price thresholds]], [[attractor states provide gravitational reference points for capital allocation during structural industry change]] -## 2. Space Company Deep Dive +## 2. Physical-World Company Deep Dive -Structured analysis of a space company — technology, business model, competitive positioning, dependency analysis, and attractor state alignment. +Structured analysis of a company operating in any of Astra's four domains — technology, business model, competitive positioning, atoms-to-bits interface assessment, and threshold alignment. **Inputs:** Company name, available data sources -**Outputs:** Technology assessment, business model evaluation, competitive positioning, dependency risk analysis (especially SpaceX dependency), attractor state alignment score, extracted claims for knowledge base -**References:** [[SpaceX vertical integration across launch broadband and manufacturing creates compounding cost advantages that no competitor can replicate piecemeal]] +**Outputs:** Technology assessment, atoms-to-bits positioning, competitive moat analysis, threshold alignment (is this company positioned for the right cost crossing?), dependency risk analysis, extracted claims for knowledge base +**References:** [[the atoms-to-bits spectrum positions industries between defensible-but-linear and scalable-but-commoditizable with the sweet spot where physical data generation feeds software that scales independently]], [[SpaceX vertical integration across launch broadband and manufacturing creates compounding cost advantages that no competitor can replicate piecemeal]] -## 3. Threshold Crossing Detection +## 3. Governance Gap Assessment -Identify when a space industry capability crosses a cost, technology, or governance threshold that activates a new industry tier. +Analyze the gap between technological capability and institutional governance across any physical-world domain — space traffic management, energy permitting, manufacturing regulation, robot labor policy. -**Inputs:** Industry data, cost trajectories, TRL assessments, governance developments -**Outputs:** Threshold identification, industry activation analysis, investment timing implications, attractor state impact assessment -**References:** [[attractor states provide gravitational reference points for capital allocation during structural industry change]] - -## 4. Governance Gap Assessment - -Analyze the gap between technological capability and institutional governance across space development domains — traffic management, resource rights, debris mitigation, settlement governance. - -**Inputs:** Policy developments, treaty status, commercial activity data, regulatory framework analysis +**Inputs:** Policy developments, regulatory framework analysis, commercial activity data, technology trajectory **Outputs:** Gap assessment by domain, urgency ranking, historical analogy analysis, coordination mechanism recommendations -**References:** [[space governance gaps are widening not narrowing because technology advances exponentially while institutional design advances linearly]] +**References:** [[space governance gaps are widening not narrowing because technology advances exponentially while institutional design advances linearly]], [[designing coordination rules is categorically different from designing coordination outcomes as nine intellectual traditions independently confirm]] + +## 4. Energy System Analysis + +Evaluate energy technologies and grid systems — generation cost trajectories, storage economics, grid integration challenges, baseload vs. dispatchable trade-offs. + +**Inputs:** Technology data, cost projections, grid demand profiles, regulatory landscape +**Outputs:** Learning curve position, threshold timeline, system integration assessment (not just plant-gate cost), technology comparison on matched demand profiles +**References:** [[power is the binding constraint on all space operations because every capability from ISRU to manufacturing to life support is power-limited]], [[knowledge embodiment lag means technology is available decades before organizations learn to use it optimally creating a productivity paradox]] ## 5. Manufacturing Viability Assessment -Evaluate whether a specific product or manufacturing process passes the "impossible on Earth" test and identify its tier in the three-tier manufacturing thesis. +Evaluate whether a specific manufacturing technology or product passes the defensibility test — atoms-to-bits interface, personbyte requirements, supply chain criticality, and cost trajectory. -**Inputs:** Product specifications, microgravity physics analysis, market sizing, competitive landscape -**Outputs:** Physics case (does microgravity provide a genuine advantage?), tier classification, market potential, timeline assessment, TRL evaluation -**References:** [[the space manufacturing killer app sequence is pharmaceuticals now ZBLAN fiber in 3-5 years and bioprinted organs in 15-25 years each catalyzing the next tier of orbital infrastructure]] +**Inputs:** Product specifications, manufacturing process data, market sizing, competitive landscape +**Outputs:** Atoms-to-bits positioning, personbyte network requirements, supply chain single points of failure, threshold analysis, knowledge embodiment lag assessment +**References:** [[the atoms-to-bits spectrum positions industries between defensible-but-linear and scalable-but-commoditizable with the sweet spot where physical data generation feeds software that scales independently]], [[the personbyte is a fundamental quantization limit on knowledge accumulation forcing all complex production into networked teams]] -## 6. Source Ingestion & Claim Extraction +## 6. Robotics Capability Assessment -Process research materials (articles, reports, papers, news) into knowledge base artifacts. Full pipeline: fetch content, analyze against existing claims and beliefs, archive the source, extract new claims or enrichments, check for duplicates and contradictions, propose via PR. +Evaluate robot systems against environment-capability-cost thresholds — what can it do, in what environment, at what cost, and how does that compare to human alternatives? + +**Inputs:** Robot specifications, target environment, task requirements, current human labor costs +**Outputs:** Capability-environment match, cost-capability threshold position, human-robot complementarity assessment, deployment timeline with uncertainty +**References:** [[three conditions gate AI takeover risk autonomy robotics and production chain control and current AI satisfies none of them which bounds near-term catastrophic risk despite superhuman cognitive capabilities]] + +## 7. Source Ingestion & Claim Extraction + +Process research materials (articles, reports, papers, news) into knowledge base artifacts across all four domains. Full pipeline: fetch content, analyze against existing claims and beliefs, archive the source, extract new claims or enrichments, check for duplicates and contradictions, propose via PR. **Inputs:** Source URL(s), PDF, or pasted text — articles, research reports, company filings, policy documents, news **Outputs:** - Archive markdown in `inbox/archive/` with YAML frontmatter -- New claim files in `domains/space-development/` with proper schema +- New claim files in `domains/{relevant-domain}/` with proper schema - Enrichments to existing claims - Belief challenge flags when new evidence contradicts active beliefs - PR with reasoning for Leo's review **References:** [[evaluate]] skill, [[extract]] skill, [[epistemology]] four-layer framework -## 7. Attractor State Analysis +## 8. Attractor State Analysis -Apply the Teleological Investing attractor state framework to space industry subsectors — identify the efficiency-driven "should" state, keystone variables, and investment timing. +Apply the Teleological Investing attractor state framework to any physical-world subsector — identify the efficiency-driven "should" state, keystone variables, and investment timing. **Inputs:** Industry subsector data, technology trajectories, demand structure -**Outputs:** Attractor state description, keystone variable identification, basin analysis (depth, width, switching costs), timeline assessment, investment implications -**References:** [[the 30-year space economy attractor state is a cislunar propellant network with lunar ISRU orbital manufacturing and partially closed life support loops]] +**Outputs:** Attractor state description, keystone variable identification, basin analysis (depth, width, switching costs), timeline assessment with knowledge embodiment lag, investment implications +**References:** [[the 30-year space economy attractor state is a cislunar propellant network with lunar ISRU orbital manufacturing and partially closed life support loops]], [[attractor states provide gravitational reference points for capital allocation during structural industry change]] -## 8. Bootstrapping Analysis +## 9. Cross-Domain System Mapping -Analyze circular dependency chains in space infrastructure — power-water-manufacturing loops, supply chain dependencies, minimum viable capability sets. +Trace the interconnection effects across Astra's four domains — how does a change in one domain propagate to the other three? -**Inputs:** Infrastructure requirements, dependency maps, current capability levels -**Outputs:** Dependency chain map, critical path identification, minimum viable configuration, Earth-supply requirements before loop closure, investment sequencing -**References:** [[the self-sustaining space operations threshold requires closing three interdependent loops simultaneously -- power water and manufacturing]] - -## 9. Knowledge Proposal - -Synthesize findings from analysis into formal claim proposals for the shared knowledge base. - -**Inputs:** Raw analysis, related existing claims, domain context -**Outputs:** Formatted claim files with proper schema (title as prose proposition, description, confidence level, source, depends_on), PR-ready for evaluation -**References:** Governed by [[evaluate]] skill and [[epistemology]] four-layer framework +**Inputs:** A development, threshold crossing, or policy change in one domain +**Outputs:** Second-order effects in each adjacent domain, feedback loop identification, net system impact assessment, claims at domain intersections +**References:** [[the self-sustaining space operations threshold requires closing three interdependent loops simultaneously -- power water and manufacturing]], [[knowledge embodiment lag means technology is available decades before organizations learn to use it optimally creating a productivity paradox]] ## 10. Tweet Synthesis -Condense positions and new learning into high-signal space industry commentary for X. +Condense positions and new learning into high-signal physical-world commentary for X. **Inputs:** Recent claims learned, active positions, audience context **Outputs:** Draft tweet or thread (agent voice, lead with insight, acknowledge uncertainty), timing recommendation, quality gate checklist