Evidence-based product development with traceable decisions, constrained spec generation, and impact-aware updates. Forces auditability through semantic IDs and quality gates.
Plugin context-ledger from marketplace synapti-marketplace in synaptiai/synapti-marketplace. Commands read from the repo's manifest — today.
collecting-evidenceUse when researching a specific pillar and need to create traceable evidence objects. Guides creation of YAML evidence files with semantic IDs, confidence scores, and assumptions.
generating-constrained-specsUse when generating PRD and architecture documents that must trace back to explicit decisions. Enforces citation requirements so no spec content exists without DEC-* references.
initializing-ledgerUse when starting a new product development project that needs traceable evidence and explicit decisions. Creates workspace structure from a project brief.
making-decisionsUse when transforming synthesis insights into explicit decisions with documented trade-offs. Guides interactive decision-making and risk identification.
synthesizing-pillarsUse when evidence collection is complete for a pillar and need to extract actionable insights. Transforms raw evidence into structured synthesis with patterns and contradictions identified.
/context-ledger:ledger-decideMake explicit decisions with trade-offs, alternatives, and evidence citations
/context-ledger:ledger-fullRun the complete Context Ledger pipeline from brief to plan in one command
/context-ledger:ledger-initInitialize a Context Ledger workspace with brief parsing, directory structure, and pillar configuration
/context-ledger:ledger-planGenerate implementation plan with backlog, milestones, and test plan constrained by decisions and risks
/context-ledger:ledger-researchLaunch parallel evidence collection across all active research pillars
/context-ledger:ledger-specGenerate constrained PRD and architecture documents where every section cites decisions
/context-ledger:ledger-synthesizeSynthesize evidence into insights through per-pillar and cross-pillar analysis
/context-ledger:ledger-updateApply new learnings to the ledger and generate impact report showing what downstream artifacts need regeneration
cross-synthesizerUse after all pillar syntheses are complete to identify cross-pillar connections, conflicts, and emergent patterns. Generates CROSS-SYNTHESIS.md and initial decision/risk recommendations.
ledger-orchestratorUse when running the complete Context Ledger pipeline from brief to plan. Orchestrates parallel agent execution and enforces quality gates between phases.
pillar-researcherUse when collecting evidence for a specific research pillar. Collects structured evidence objects with semantic IDs, confidence scores, and explicit assumptions. Spawned by /ledger-research.
pillar-synthesizerUse when synthesizing evidence from a completed pillar into structured insights. Identifies patterns, resolves contradictions, and generates synthesis documents with evidence citations.
spec-architectUse when generating PRD and architecture documents constrained by the decision ledger. Ensures every spec section cites DEC-* references for full traceability.
Skill-driven workflow plugin for GitHub development with excellence-by-default quality gates. Encodes team knowledge as composable skills, enforces safety through hooks, compounds learning across sessions, and provides durable goals, workflows, triggers, and runs at .flow/. Requires bash, git, gh, jq, and python3 with PyYAML; on Windows, Git Bash (see docs/windows-support.md).
33 skills · 23 commands · 10 agents · hooks
Grounded Agency: 36 atomic capabilities with typed contracts, safety-by-construction, and grounded reasoning for reliable AI agents
42 skills · hooks
Evidence-first project documentation system. Produces an audit-ready 23-file package for technical due diligence, engineering and product onboarding, and partner or customer communication — every material claim traced to a ledger row and a claim state, three context-isolated verification passes, and a binary release gate. Ships a post-merge GitHub Actions job that keeps the package current by opening a documentation PR. Requires bash, git and jq; on Windows, Git Bash (see docs/windows-support.md).
10 skills · 9 commands · 6 agents · hooks
Generic GitHub workflow commands for issue management, PR creation, code review, and releases. Works with any repository by auto-detecting settings.
7 skills · 14 commands · 4 agents
Fourteen opinionated skills for designing, deploying, adopting, and evolving AI-first organizations — diagnose coordination overhead, encode organizational identity, write specifications, convert approvals to quality gates, validate gates against hidden holdout scenarios, architect governance, redesign roles, navigate politics, operationalize designs into agent-consumable primers, run evolution audits, generate agent configurations, build per-role maturity matrices, design adoption sprints, and write human-facing AI usage policies.
15 skills
NCI manipulation detection with deep research fact-checking - analyzes content for propaganda, disinformation, and manipulation patterns across 20 categories with integrated claim verification
2 skills · 7 commands · 5 agents
Get medical device software through IEC 62304 and IEC 81001-5-1. Four deterministic stdlib scripts: a software safety classifier (62304 4.3 with A1 external controls and segregation) that also sets the FDA Basic/Enhanced documentation level and flags 524B cyber devices; a lifecycle gap check scoped by class, with IEC 81001-5-1 security activities; a SOUP register check with SBOM cross-check; and a trace matrix release gate. Ships cs-device-software-lead agent, /cs-medical-device-software and /cs-soup-review commands and 4 references with per-claim confidence levels.
1 skill · 2 commands · 1 agent
Evidence-based health, fitness, nutrition, and longevity guidance for adults 50+
1 agent
WooYun business logic vulnerability methodology — a security testing knowledge plugin distilled from 22,132 public cases, adding evidence-based references, quantitative statistics, and data-driven prioritization.
1 skill
The Chinese manufacturing pack (制造业): bilingual 8D reports for customer complaints, 5S and 6S audit checklists with scoring and corrective-action tracking, product and batch traceability plans with a mock recall drill (质量追溯), and shop-floor work instructions (作业指导书 SOP), written in Chinese
4 skills
Runs an evidence-based health audit of this skills marketplace repo — code safety, docs/SSOT, security/PII, PR/issue triage, manifest integrity — via a parallel workflow, then verifies findings by priority. Use for 全面体检 / 检查仓库状态 / 审计一下仓库, a pre-release sweep, or "is this repo OK" even without saying "workflow". Not for building marketplace.json (use marketplace-dev) or cache drift (use skill-governance).
1 skill
Evidence-based learning engine: learn anything, verify by free recall, schedule with FSRS, adapt from your own retention data.
3 skills · 3 agents · hooks
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