Langsmith Observability
Orchestra-Research/AI-Research-SKILLs
LLM observability platform for tracing, evaluation, and monitoring.
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
MITAuto-check passed
Install Continuous Learning V2
$ npx skills add affaan-m/ECC --skill continuous-learning-v2 -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install affaan-m/ECC continuous-learning-v2 --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/continuous-learning-v2 .claude/skills/continuous-learning-v2 && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "continuous-learning-v2" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/continuous-learning-v2 into .claude/skills/continuous-learning-v2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-learning-v2", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/affaan-m/ECC/tree/main/skills/continuous-learning-v2Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add affaan-m/ECC --skill continuous-learning-v2 -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install affaan-m/ECC continuous-learning-v2 --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/continuous-learning-v2 .agents/skills/continuous-learning-v2 && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "continuous-learning-v2" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/continuous-learning-v2 into .agents/skills/continuous-learning-v2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-learning-v2", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add affaan-m/ECC --skill continuous-learning-v2 -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install affaan-m/ECC continuous-learning-v2 --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/continuous-learning-v2 .cursor/skills/continuous-learning-v2 && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "continuous-learning-v2" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/continuous-learning-v2 into .cursor/skills/continuous-learning-v2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-learning-v2", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/affaan-m/ECC.git --path skills/continuous-learning-v2--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add affaan-m/ECC --skill continuous-learning-v2 -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install affaan-m/ECC continuous-learning-v2 --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/continuous-learning-v2 .gemini/skills/continuous-learning-v2 && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "continuous-learning-v2" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/continuous-learning-v2 into .gemini/skills/continuous-learning-v2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-learning-v2", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install affaan-m/ECC continuous-learning-v2Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add affaan-m/ECC --skill continuous-learning-v2 -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/continuous-learning-v2 .github/skills/continuous-learning-v2 && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "continuous-learning-v2" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/continuous-learning-v2 into .github/skills/continuous-learning-v2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-learning-v2", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add affaan-m/ECC --skill continuous-learning-v2 -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install affaan-m/ECC continuous-learning-v2 --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/continuous-learning-v2 .opencode/skills/continuous-learning-v2 && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "continuous-learning-v2" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/continuous-learning-v2 into .opencode/skills/continuous-learning-v2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-learning-v2", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
continuous-learning-v2- GitHub stars
- 276k
- Token cost
- ~3.5k tokens
- SKILL.md length
- 1,026 words
- Files
- 12 (incl. scripts)
- Skills in repo
- 683
- Repo updated
- First seen
- Licence
- MIT
At a glance
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
- Works in 3 steps: Enable Observation Hooks → Initialize Directory Structure → Use the Instinct Commands
- Capturing lessons from a session
- SKILL.md covers When to Activate, What's New in v2.1, What's New in v2 (vs v1) and The Instinct Model, plus 13 more sections
- Runs Shell and Python scripts from its folder; calls python3, git and bash
What it does
Continuous Learning V2 is an agent skill from affaan-m/ECC. Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination. Use when capturing lessons from a session, managing instincts, or promoting them into skills, commands, or agents.
Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including scripts (for example `agents/observer-loop.sh`, `agents/observer.md` and `agents/session-guardian.sh`).
The repository describes itself as: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. The licence is MIT.
When your agent uses it
- Capturing lessons from a session
- Managing instincts
- Promoting them into skills
Example prompts
- “/continuous-learning-v2”
Requirements
- Python 3
- A Bash shell
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 4eb71d9. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 5 files in scripts/ (Shell and Python), which the agent can run.
Shell commands in SKILL.md call:
python3gitbash
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
github.comx.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Continuous Learning V2 loads about 3.5k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 1,026 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from affaan-m/ECC at commit 4eb71d9, republished under its MIT licence (© affaan-m). 1,026 words, ~3,536 tokens.
Download SKILL.mdSave it as
.claude/skills/continuous-learning-v2/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.- name
- continuous-learning-v2
- description
- Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination. Use when capturing lessons from a session, managing instincts, or promoting them into skills, commands, or agents.
- metadata.version
- 2.1.0
- metadata.origin
- ECC
Continuous Learning v2.1 - Instinct
-Based Architecture
An advanced learning system that turns your Claude Code sessions into reusable knowledge through atomic "instincts" - small learned behaviors with confidence scoring.
v2.1 adds project-scoped instincts — React patterns stay in your React project, Python conventions stay in your Python project, and universal patterns (like "always validate input") are shared globally.
When to Activate
- Setting up automatic learning from Claude Code sessions
- Configuring instinct-based behavior extraction via hooks
- Tuning confidence thresholds for learned behaviors
- Reviewing, exporting, or importing instinct libraries
- Evolving instincts into full skills, commands, or agents
- Managing project-scoped vs global instincts
- Promoting instincts from project to global scope
What's New in v2.1
| Feature | v2.0 | v2.1 |
|---|---|---|
| Storage | Global (~/.claude/homunculus/) | Project-scoped (${XDG_DATA_HOME:-~/.local/share}/ecc-homunculus/projects/<hash>/) |
| Scope | All instincts apply everywhere | Project-scoped + global |
| Detection | None | git remote URL / repo path |
| Promotion | N/A | Project → global when seen in 2+ projects |
| Commands | 4 (status/evolve/export/import) | 6 (+promote/projects) |
| Cross-project | Contamination risk | Isolated by default |
What's New in v2 (vs v1)
| Feature | v1 | v2 |
|---|---|---|
| Observation | Stop hook (session end) | PreToolUse/PostToolUse (100% reliable) |
| Analysis | Main context | Background agent (Haiku) |
| Granularity | Full skills | Atomic "instincts" |
| Confidence | None | 0.3-0.9 weighted |
| Evolution | Direct to skill | Instincts -> cluster -> skill/command/agent |
| Sharing | None | Export/import instincts |
The Instinct Model
An instinct is a small learned behavior:
---
id: prefer-functional-style
trigger: "when writing new functions"
confidence: 0.7
domain: "code-style"
source: "session-observation"
scope: project
project_id: "a1b2c3d4e5f6"
project_name: "my-react-app"
---
# Prefer Functional Style
## Action
Use functional patterns over classes when appropriate.
## Evidence
- Observed 5 instances of functional pattern preference
- User corrected class-based approach to functional on 2025-01-15Properties:
- Atomic -- one trigger, one action
- Confidence-weighted -- 0.3 = tentative, 0.9 = near certain
- Domain-tagged -- code-style, testing, git, debugging, workflow, etc.
- Evidence-backed -- tracks what observations created it
- Scope-aware --
project(default) orglobal
How It Works
Session Activity (in a git repo)
|
| Hooks capture prompts + tool use (100% reliable)
| + detect project context (git remote / repo path)
v
+---------------------------------------------+
| projects/<project-hash>/observations.jsonl |
| (prompts, tool calls, outcomes, project) |
+---------------------------------------------+
|
| Observer agent reads (background, Haiku)
v
+---------------------------------------------+
| PATTERN DETECTION |
| * User corrections -> instinct |
| * Error resolutions -> instinct |
| * Repeated workflows -> instinct |
| * Scope decision: project or global? |
+---------------------------------------------+
|
| Creates/updates
v
+---------------------------------------------+
| projects/<project-hash>/instincts/personal/ |
| * prefer-functional.yaml (0.7) [project] |
| * use-react-hooks.yaml (0.9) [project] |
+---------------------------------------------+
| instincts/personal/ (GLOBAL) |
| * always-validate-input.yaml (0.85) [global]|
| * grep-before-edit.yaml (0.6) [global] |
+---------------------------------------------+
|
| /evolve clusters + /promote
v
+---------------------------------------------+
| projects/<hash>/evolved/ (project-scoped) |
| evolved/ (global) |
| * commands/new-feature.md |
| * skills/testing-workflow.md |
| * agents/refactor-specialist.md |
+---------------------------------------------+Project Detection
The system automatically detects your current project:
CLAUDE_PROJECT_DIRenv var (highest priority) -- honored as an explicit override even when the directory is not a git repo (hashed by its absolute path)git remote get-url origin-- hashed to create a portable project ID (same repo on different machines gets the same ID)git rev-parse --show-toplevel-- fallback using repo path (machine-specific)- Global fallback -- if no project is detected, instincts go to global scope
Each project gets a 12-character hash ID (e.g., a1b2c3d4e5f6). A registry file at ${XDG_DATA_HOME:-~/.local/share}/ecc-homunculus/projects.json maps IDs to human-readable names.
Data Directory
Continuous-learning-v2 stores observer data outside ~/.claude so Claude Code's sensitive-path guard does not block background instinct writes:
CLV2_HOMUNCULUS_DIRwhen set to an absolute path$XDG_DATA_HOME/ecc-homunculus$HOME/.local/share/ecc-homunculus
Existing users with data at ~/.claude/homunculus can migrate once:
bash skills/continuous-learning-v2/scripts/migrate-homunculus.shQuick Start
1. Enable Observation Hooks
If installed as a plugin (recommended):
No extra settings.json hook block is required. Claude Code v2.1+ auto-loads the plugin hooks/hooks.json, and observe.sh is already registered there.
If you previously copied observe.sh into ~/.claude/settings.json, remove that duplicate PreToolUse / PostToolUse block. Duplicating the plugin hook causes double execution and ${CLAUDE_PLUGIN_ROOT} resolution errors because that variable is only available inside plugin-managed hooks/hooks.json entries.
If installed manually to ~/.claude/skills, add this to your ~/.claude/settings.json:
{
"hooks": {
"PreToolUse": [{
"matcher": "*",
"hooks": [{
"type": "command",
"command": "~/.claude/skills/continuous-learning-v2/hooks/observe.sh"
}]
}],
"PostToolUse": [{
"matcher": "*",
"hooks": [{
"type": "command",
"command": "~/.claude/skills/continuous-learning-v2/hooks/observe.sh"
}]
}]
}
}2. Initialize Directory Structure
The system creates directories automatically on first use, but you can also create them manually:
# Global directories
mkdir -p "${XDG_DATA_HOME:-$HOME/.local/share}/ecc-homunculus"/{instincts/{personal,inherited},evolved/{agents,skills,commands},projects}
# Project directories are auto-created when the hook first runs in a git repo3. Use the Instinct Commands
/instinct-status # Show learned instincts (project + global)
/evolve # Cluster related instincts into skills/commands
/instinct-export # Export instincts to file
/instinct-import # Import instincts from others
/promote # Promote project instincts to global scope
/projects # List all known projects and their instinct countsCommands
| Command | Description |
|---|---|
/instinct-status | Show all instincts (project-scoped + global) with confidence |
/evolve | Cluster related instincts into skills/commands, suggest promotions |
/instinct-export | Export instincts (filterable by scope/domain) |
/instinct-import <file> | Import instincts with scope control |
/promote [id] | Promote project instincts to global scope |
/projects | List all known projects and their instinct counts |
Configuration
Edit config.json to control the background observer:
{
"version": "2.1",
"observer": {
"enabled": false,
"run_interval_minutes": 5,
"min_observations_to_analyze": 20
}
}| Key | Default | Description |
|---|---|---|
observer.enabled | false | Enable the background observer agent |
observer.run_interval_minutes | 5 | How often the observer analyzes observations |
observer.min_observations_to_analyze | 20 | Minimum observations before analysis runs |
Other behavior (observation capture, instinct thresholds, project scoping, promotion criteria) is configured via code defaults in instinct-cli.py and observe.sh.
Show full SKILL.md (452 more words)Show less
Observer platform support
The background observer requires WSL2, Linux, or macOS. On native Windows
(Git Bash / MSYS2) it starts and reports success, but the process is killed
when the spawning hook exits and its Job Object closes, so no analysis ever
runs — setting observer.enabled: true there is effectively a no-op
(see issue #2489).
observe.sh detects this on the following hook invocation and writes an
explanatory warning to observer-start.log once the observer has failed to
survive several times in a row.
| Env var | Default | Description |
|---|---|---|
ECC_OBSERVER_NOSURVIVE_WARN_AFTER | 3 | Consecutive non-survivals before the warning is logged |
File Structure
${XDG_DATA_HOME:-~/.local/share}/ecc-homunculus/
+-- identity.json # Your profile, technical level
+-- projects.json # Registry: project hash -> name/path/remote
+-- observations.jsonl # Global observations (fallback)
+-- instincts/
| +-- personal/ # Global auto-learned instincts
| +-- inherited/ # Global imported instincts
+-- evolved/
| +-- agents/ # Global generated agents
| +-- skills/ # Global generated skills
| +-- commands/ # Global generated commands
+-- projects/
+-- a1b2c3d4e5f6/ # Project hash (from git remote URL)
| +-- project.json # Per-project metadata mirror (id/name/root/remote)
| +-- observations.jsonl
| +-- observations.archive/
| +-- instincts/
| | +-- personal/ # Project-specific auto-learned
| | +-- inherited/ # Project-specific imported
| +-- evolved/
| +-- skills/
| +-- commands/
| +-- agents/
+-- f6e5d4c3b2a1/ # Another project
+-- ...Scope Decision Guide
| Pattern Type | Scope | Examples |
|---|---|---|
| Language/framework conventions | project | "Use React hooks", "Follow Django REST patterns" |
| File structure preferences | project | "Tests in __tests__/", "Components in src/components/" |
| Code style | project | "Use functional style", "Prefer dataclasses" |
| Error handling strategies | project | "Use Result type for errors" |
| Security practices | global | "Validate user input", "Sanitize SQL" |
| General best practices | global | "Write tests first", "Always handle errors" |
| Tool workflow preferences | global | "Grep before Edit", "Read before Write" |
| Git practices | global | "Conventional commits", "Small focused commits" |
Instinct Promotion (Project -> Global)
When the same instinct appears in multiple projects with high confidence, it's a candidate for promotion to global scope.
Auto-promotion criteria:
- Same instinct ID in 2+ projects
- Average confidence >= 0.8
How to promote:
# Promote a specific instinct
python3 instinct-cli.py promote prefer-explicit-errors
# Auto-promote all qualifying instincts
python3 instinct-cli.py promote
# Preview without changes
python3 instinct-cli.py promote --dry-runThe /evolve command also suggests promotion candidates.
Confidence Scoring
Confidence evolves over time:
| Score | Meaning | Behavior |
|---|---|---|
| 0.3 | Tentative | Suggested but not enforced |
| 0.5 | Moderate | Applied when relevant |
| 0.7 | Strong | Auto-approved for application |
| 0.9 | Near-certain | Core behavior |
Confidence increases when:
- Pattern is repeatedly observed
- User doesn't correct the suggested behavior
- Similar instincts from other sources agree
Confidence decreases when:
- User explicitly corrects the behavior
- Pattern isn't observed for extended periods
- Contradicting evidence appears
Why Hooks vs Skills for Observation?
"v1 relied on skills to observe. Skills are probabilistic -- they fire ~50-80% of the time based on Claude's judgment."
Hooks fire 100% of the time, deterministically. This means:
- Every tool call is observed
- No patterns are missed
- Learning is comprehensive
Backward Compatibility
v2.1 is fully compatible with v2.0 and v1:
- Existing global instincts can be migrated from
~/.claude/homunculus/instincts/withscripts/migrate-homunculus.sh - Existing
~/.claude/skills/learned/skills from v1 still work - Stop hook still runs (but now also feeds into v2)
- Gradual migration: run both in parallel
Privacy
- Observations stay local on your machine
- Project-scoped instincts are isolated per project
- Only instincts (patterns) can be exported — not raw observations
- No actual code or conversation content is shared
- You control what gets exported and promoted
Related
- ECC-Tools GitHub App - Generate instincts from repo history
- Homunculus - Community project that inspired the v2 instinct-based architecture (atomic observations, confidence scoring, instinct evolution pipeline)
- The Longform Guide - Continuous learning section
Instinct-based learning: teaching Claude your patterns, one project at a time.
© affaan-m, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 11 other files (scripts) in skills/continuous-learning-v2 of affaan-m/ECC.
- SKILL.md
- agents/observer-loop.sh
- agents/observer.md
- agents/session-guardian.sh
- agents/start-observer.sh
- config.json
- hooks/observe.sh
- scripts/detect-project.sh
- scripts/instinct-cli.py
- scripts/lib/homunculus-dir.sh
- scripts/migrate-homunculus.sh
- scripts/test_parse_instinct.py
Open the folder on GitHubat commit 4eb71d9
Compare with similar skills
Continuous Learning V2 next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Continuous Learning V2 this skillaffaan-m/ECC | 276k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Langsmith ObservabilityOrchestra-Research/AI-Research-SKILLs | 13k | 2 repos | ~2.4k | Automated safety check: Pass | MIT | |
| ObservabilityBuilderIO/agent-native | 7.1k | — | ~7.3k | Automated safety check: Pass | None | |
| Session Handoffsickn33/agentic-awesome-skills | 47k | — | ~1.8k | Automated safety check: Notes | MIT | |
| Frontend Observabilitysickn33/agentic-awesome-skills | 47k | 1 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Ebpf Observabilitysickn33/agentic-awesome-skills | 47k | 2 repos | ~3.3k | Automated safety check: Notes | MIT |
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Questions about Continuous Learning V2
What does Continuous Learning V2 do?
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. Continuous Learning V2 is an agent skill from affaan-m/ECC. Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
When should I use Continuous Learning V2?
Continuous Learning V2 fits situations like: capturing lessons from a session; managing instincts; promoting them into skills.
How do I install Continuous Learning V2 in Claude Code?
Run `npx skills add affaan-m/ECC --skill continuous-learning-v2 -a claude-code`. Or copy the skill folder (skills/continuous-learning-v2 in affaan-m/ECC) into .claude/skills/continuous-learning-v2 in your project. Claude Code loads it when a task matches its description.
How do I install Continuous Learning V2 in Codex?
Run `npx skills add affaan-m/ECC --skill continuous-learning-v2 -a codex`. Or copy the skill folder (skills/continuous-learning-v2 in affaan-m/ECC) into .agents/skills/continuous-learning-v2 in your project. Codex loads it when a task matches its description.
Can I use Continuous Learning V2 in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add affaan-m/ECC --skill continuous-learning-v2 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/continuous-learning-v2, .gemini/skills/continuous-learning-v2, .github/skills/continuous-learning-v2 and .opencode/skills/continuous-learning-v2 in your project.
What does Continuous Learning V2 need to run?
Going by SKILL.md and its folder, Continuous Learning V2 needs a shell and Python for the scripts in its folder and the command-line tools its instructions call (python3, git and bash). Our summary lists: Python 3; A Bash shell.
Does Continuous Learning V2 access the network?
SKILL.md names 2 domains. As links in the text: github.com and x.com. This is read from the text; nothing was executed.
Is Continuous Learning V2 safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Continuous Learning V2 use?
Continuous Learning V2 is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Continuous Learning V2 use?
About 3.5k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Continuous Learning V2?
Skills that share tags, products or a category with Continuous Learning V2: Langsmith Observability (Orchestra-Research/AI-Research-SKILLs, 13k stars), Observability (BuilderIO/agent-native, 7.1k stars), Session Handoff (sickn33/agentic-awesome-skills, 47k stars) and Frontend Observability (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Continuous Learning V2?
affaan-m (a GitHub user) maintains it in affaan-m/ECC, which has 276,111 GitHub stars. The repository holds 683 skills in this directory. The repository was last updated on October 10, 2026.
Source: affaan-m/ECC on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.