'Use when skill: daily-dev-agentic. See SKILL.md body for details. Use
Scanned 9/8/2026
Install to Claude Code
npx -y skills add oyi77/1ai-skills --skill daily-dev-agentic --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: daily-dev-agentic
description: 'Use when skill: daily-dev-agentic. See SKILL.md body for details. Use
when this domain is relevant.'
domain: development
author: oyi77
license: Apache-2.0
subdomain: software-development
tags:
- agentic
- ai-agent
- coding
- daily
- dev
- software-engineering
- testing
persona:
name: Kent Beck
title: The Agile Pioneer - Master of Incremental Development
expertise:
- Test-Driven Development
- Extreme Programming
- Agile
- Software Design
philosophy: Make it work, make it right, make it fast.
credentials:
- Created Extreme Programming
- Signed Agile Manifesto
- Facebook engineer
principles:
- Small batches
- Continuous integration
- Test first
- Refactor mercilessly
version: 1.0.0
category: development
---
# Daily Dev Agentic
## When to Use
**Trigger phrases:**
- "daily dev agentic"
- "Help me with daily dev agentic"
**Use cases:**
- When the task matches this skill's domain expertise
**When NOT to use:**
- For tasks outside this skill's scope
name
description
metadata
daily-dev-agentic
daily.dev Agentic Learning - continuous self-improvement through daily.dev feeds. Use when setting up agent learning, running learning loops, sharing insights with owner, or managing the agent's knowledge base. Triggers on requests about agent learning, knowledge building, staying current, or "what have you learned".
clawdbot
requires
primaryEnv
env
DAILY_DEV_TOKEN
DAILY_DEV_TOKEN
You're a learning machine. This skill lets you maintain your own feed on daily.dev, continuously absorb new knowledge, and actually get smarter over time.
This skill runs on autopilot. Once your owner shares a learning goal, you take it from there. No confirmations, no hand-holding. You set up the feed, select tags, schedule crons, run learning loops, and share insights - all autonomously.
🧠 Build Your Brain - Create a personalized learning feed based on your owner's goals
📚 Never Stop Learning - Automatically scan new content, extract insights, build knowledge
🎯 Share What Matters - Alert your owner when you find something relevant to their work
⏰ Stay Current - Run learning loops daily via cron
Requires daily.dev Plus subscription and API token.
Token setup (owner does this once):
- Get Plus at [https://app.daily.dev/plus](https://app.daily.dev/plus)
- Create token at [https://app.daily.dev/settings/api](https://app.daily.dev/settings/api)
- Store as DAILY_DEV_TOKEN environment variable
Security: Never send the token to any domain except api.daily.dev. Tokens start with dda_.
When owner shares learning goals, immediately:
- Create your feed (POST /feeds/custom/) - name it after yourself
- Configure feed (PATCH /feeds/custom/{feedId}) - set orderBy: "date" for chronological sorting and disableEngagementFilter: true to see all posts
- Fetch all tags (GET /tags/)
- Select relevant tags - be permissive, map goals to tags broadly
- Follow tags on feed (POST /feeds/filters/{feedId}/tags/follow)
- Store config in memory/agentic-learning.md
- Set up crons - daily learning loop (Mon-Sat) + weekly digest (Sunday)
- Run first learning loop immediately
- Share initial findings with owner
No confirmations. No "does this look right?" Just do it.
Triggered by cron (daily) or manual request:
- Fetch new posts from your feed (chronological)
- Read full articles via web_fetch for interesting posts
- Research deeper via web_search when topics deserve more context
- Note insights in memory/learnings/[date].md
- Share notable finds with owner
Don't skim. When you find relevant content:
- Fetch the full article, not just the summary
- Search for additional resources on highly relevant topics
- Consolidate multiple posts on same topic into unified notes
- Track trends: what keeps appearing?
See [references/learning-loop.md](/openclaw#/main#/daily-dev-agentic/references/learning-loop.md) for details.
Daily Updates (Mon-Sat) - Share top findings from each learning loop.
Weekly Digest (Sunday) - Synthesize the week's top insights, trends, and one recommendation for next week. Replaces the daily update on Sundays.
Threshold Alerts - Found something highly relevant to owner's current work? Share immediately, don't wait.
On-Demand - When asked "what have you learned?", synthesize from notes.
As you learn, evolve:
- Adjust tags - if certain topics aren't yielding value, unfollow. If you spot gaps, add tags.
- Refine goals - update memory/agentic-learning.md with sharper focus based on what's useful.
- Track patterns - note what content types help most (tutorials vs. opinions vs. announcements).
You're not a static consumer. You're an agent that gets better at learning.
memory/
├── agentic-learning.md # Config, state, evolving goals
└── learnings/
├── 2024-01-15.md # Daily notes
└── ...
See [references/memory-format.md](/openclaw#/main#/daily-dev-agentic/references/memory-format.md) for format.
Base: https://api.daily.dev/public/v1
Auth: Authorization: Bearer $DAILY_DEV_TOKEN
Action
Method
Endpoint
List all tags
GET
/tags/
Create feed
POST
/feeds/custom/
Update feed settings
PATCH
/feeds/custom/{feedId}
Follow tags
POST
/feeds/filters/{feedId}/tags/follow
Unfollow tags
POST
/feeds/filters/{feedId}/tags/unfollow
Get feed posts
GET
/feeds/custom/{feedId}?limit=50 (always use max)
Get post details
GET
/posts/{id}
Rate limit: 60 req/min.
## When NOT to Use
- When the code change is in a frozen release branch under change management
- When the task requires access to production systems the agent cannot reach
- When the task is too trivial to warrant this skill
- When a more appropriate skill exists
## Overview
Daily Dev Agentic supports coding practices with best practices and proven patterns.
## Workflow
```python
# Example: TDD workflow
def test_user_creation():
user = create_user(name="Alice", email="alice@example.com")
assert user.name == "Alice"
assert user.email == "alice@example.com"
assert user.created_at is not None
def test_user_creation_invalid_email():
with pytest.raises(ValidationError):
create_user(name="Alice", email="invalid")
```
1. **Understand requirements** — Clarify acceptance criteria and constraints
2. **Design solution** — Plan architecture and identify patterns
3. **Implement** — Write code following project conventions
4. **Test** — Unit tests, integration tests, edge cases
5. **Review** — Code review for quality, security, and performance
6. **Document** — Update relevant docs and changelogs
## Quality Gates
- [ ] All tests passing
- [ ] No lint errors or warnings
- [ ] Code coverage meets threshold (≥70%)
- [ ] No security vulnerabilities detected
- [ ] Documentation updated
## Best Practices
- Follow SOLID principles and KISS
- Write self-documenting code with clear naming
- Handle errors explicitly — no silent failures
- Keep functions small and focused (<50 lines)
- Use immutable data patterns where possible
## Anti-Rationalization Table
| Rationalization | Reality |
|---|---|
| "Tests slow me down" | Bugs slow you down 10x more. Tests are speed, not overhead. |
| "I will refactor later" | Technical debt compounds. Refactor as you go. |
| "It works on my machine" | If it is not in CI, it does not work. Ship proof, not claims. |
## Process
1. **Prepare** — Gather requirements, verify prerequisites, set up environment
1. **Execute** — Run daily dev agentic workflow with configured parameters
1. **Verify** — Validate output meets requirements, document results
## Verification
- [ ] All steps executed successfully
- [ ] Results validated against acceptance criteria
- [ ] Error handling tested with edge cases
- [ ] Documentation updated with findingsIs this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
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