v0.0.46 - Sync README with SKILLS docs: context modes, fallback chains, triggers, safety limits, and doc links
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@@ -45,17 +45,19 @@ Because all identity, communication, and memory live on Nostr, the agent is **po
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### Skills are the new apps.
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Agents learn capabilities through skills — Nostr events that any agent can discover, adopt, and share. There is no app store, no gatekeeper, no approval process. An agent can use public or private skills.
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Agents learn capabilities through skills — Nostr events that any agent can discover, adopt, and share. There is no app store, no gatekeeper, no approval process. An agent can use public or private skills.
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Skills support context modes (`inject`, `full`, `override`) and per-skill LLM fallback chains (for example: `anthropic/claude-sonnet-4-20250514, openai/gpt-4o-mini, cheap`) so each skill can tune behavior and cost. See [`docs/SKILLS.md`](docs/SKILLS.md).
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### Private inference.
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Didactyl will support local inference, which is very privacy preserving. Remote inference does however have it's advantages, and in those cases Didactyl supports using Bitcoin Lightning and eCash inference providers.
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## Current Status — v0.0.45
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## Current Status — v0.0.46
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**Active build — this project is barely working. Experiment at your own risk.**
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> Last release update: v0.0.45 — Add comprehensive comments to config.jsonc and validate JSONC loading
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> Last release update: v0.0.46 — Sync README with SKILLS docs: context modes, fallback chains, triggers, safety limits, and doc links
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- Connects to configured relays with auto-reconnect and relay state transition logging
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- Publishes configured startup events per relay as each relay becomes connected
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@@ -66,7 +68,7 @@ Didactyl will support local inference, which is very privacy preserving. Remote
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- Builds LLM context from soul template (`---template---` section in kind `31120`) with named sections, variable resolution, and per-provider content overrides; falls back to hardcoded assembly if no template present
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- Adopted skills injected into context automatically from the agent's `10123` adoption list
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- Supports tool-calling loop with configurable max turns and local safety limits
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- Triggered skills — Nostr event filters that fire skill execution automatically
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- Triggered skills — Nostr event filters that fire skill execution automatically with `template` (deterministic) or `llm` (context-aware) actions; see [`docs/SKILLS.md`](docs/SKILLS.md)
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- Deduplicates inbound messages via event-ID cache and FNV-1a fingerprint debounce window
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- Appends every outbound LLM context payload to [`context.log`](context.log)
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- Localhost HTTP admin API on port `8484` — inspect context, run prompts, compare variants, change model at runtime
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@@ -195,7 +197,7 @@ CLI debugger notes:
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- Example:
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```bash
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./didactyl_static_x86_64 --config ./config.jsonc --test-tool nostr_file_md_to_longform_post '{"file":"docs/TOOLS_AND_SKILLS.md","title":"TOOLS_AND_SKILLS"}'
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./didactyl_static_x86_64 --config ./config.jsonc --test-tool nostr_file_md_to_longform_post '{"file":"docs/SKILLS.md","title":"SKILLS"}'
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```
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### Talk to it
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@@ -256,16 +258,24 @@ The CLI prints each message block with a speaker label (`You` / `Didactyl`) and
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## Didactyl Kinds (Nostr)
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Didactyl uses a two-layer skill model: authors publish public skill definitions, and adopters publish which skills they use.
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Didactyl uses a two-layer skill model: authors publish skill definitions, and adopters publish which skills they use.
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- `31120` — **Soul** (private instruction baseline)
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- `d=soul`
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- `31123` — **Public Skill Definition** (markdown skill body in `content` or structured JSON in `content_fields`)
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- `31123` — **Public Skill Definition** (replaceable by `d` tag)
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- `content` is JSON with fields like `description`, `context_mode`, `llm`, `tools`, `template`, optional `max_tokens` / `temperature`
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- `d=<skill_slug>` (example: `d=long_form_note`)
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- `31124` — **Private Skill Definition** (private/internal procedures)
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- `31124` — **Private Skill Definition** (same schema as `31123`, private scope)
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- `d=<skill_slug>` (example: `d=admin_ops`)
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- `10123` — **Public Skill Adoption List**
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- tags contain one or more `a` references to selected `31123` skills
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- `10123` — **Skill Adoption List**
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- tags contain one or more `a` references to selected skills
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Context modes:
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- `inject` — skill instructions are layered into soul context
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- `full` — skill provides full prompt template (soul optional via `{{soul}}`)
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- `override` — skill replaces soul prompt, standard context structure remains
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Full skill schema, trigger tags, template variables, fallback resolution, and limits are documented in [`docs/SKILLS.md`](docs/SKILLS.md).
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## Skill Sharing & Discovery
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@@ -304,7 +314,7 @@ Didactyl builds tier-aware context:
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- **ADMIN** request context — assembled from the soul's `---template---` section (if present), otherwise hardcoded order:
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1. Soul personality (everything above `---template---` in kind `31120`)
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2. Named template sections in order — e.g. `admin_identity`, `admin_profile`, `admin_relay_list`, `startup_events`, `adopted_skills`, `dm_history` (expand), `admin_notes`
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2. Named template sections in order — e.g. `admin_profile`, `admin_notes`, `admin_relays`, `adopted_skills`, `dm_history`, `message`, `triggering_event`, `tools`
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3. Each section resolves `{{variable}}` placeholders from live data at call time
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4. Provider-specific content overrides per section (e.g. XML tags for Anthropic)
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5. Section names are used in `context.log` headers and `/api/context/parts` response
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@@ -313,6 +323,8 @@ Didactyl builds tier-aware context:
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Every serialized LLM context payload is appended to [`context.log`](context.log).
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Triggered skills and tool loops are bounded by runtime safeguards (for example, trigger cooldowns and action rate limits); see [`docs/SKILLS.md`](docs/SKILLS.md) for the current defaults.
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## Tooling Interface
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Current tool schema exposed to the LLM in [`tools_build_openai_schema_json()`](src/tools.c:881):
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@@ -398,7 +410,9 @@ Full reference: [`docs/API.md`](docs/API.md). Frontend brief: [`plans/admin_web_
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│ └── debug.c / .h # Runtime log levels/macros
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├── docs/
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│ ├── API.md # HTTP admin API endpoint reference
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│ └── TOOLS_AND_SKILLS.md # Tool and skill system documentation
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│ ├── TOOLS.md # Tool architecture and catalog
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│ ├── SKILLS.md # Skill schema, context modes, triggers, and limits
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│ └── CRASH_FIXES.md # Crash analysis and fixes log
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├── plans/ # Architecture and planning documents
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└── README.md
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```
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+1
-1
@@ -364,4 +364,4 @@ A spelling checker runs with no soul — purely functional, minimal context, che
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## Related Documentation
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- Tool architecture and complete tool catalog: [TOOLS.md](TOOLS.md)
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- Combined index page: [TOOLS_AND_SKILLS.md](TOOLS_AND_SKILLS.md)
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- Project overview and runtime behavior: [README.md](../README.md)
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+2
-2
@@ -12,8 +12,8 @@
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// Using DIDACTYL_ prefix to avoid conflicts with nostr_core_lib VERSION macros
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#define DIDACTYL_VERSION_MAJOR 0
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#define DIDACTYL_VERSION_MINOR 0
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#define DIDACTYL_VERSION_PATCH 45
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#define DIDACTYL_VERSION "v0.0.45"
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#define DIDACTYL_VERSION_PATCH 46
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#define DIDACTYL_VERSION "v0.0.46"
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// Agent metadata
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#define DIDACTYL_NAME "Didactyl"
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