AGENT SKILLS · ÉQUIPEMENT DE MISSION
Des Agent Skills utiles classés selon leur usage réel
Comparez les Skills vérifiés par fonction, contenu, installations et fiabilité de la source avant de les ajouter.
- PÉRIMÈTRE
- VÉRIFIÉ
- Skills
- 23 248
- dépôts
- 3589
- dernière synchronisation
- 4 nov. 2026
dart-langdart-use-primary-constructors
Help users write syntactically and semantically correct primary constructors in Dart, and migrate/use the new constructor syntax, empty-body semicolon syntax, in-body initializer list syntax, and abbreviated concise constructor syntax.
- Installations / 1h
- 3
- GitHub Stars
- 530
- Mis à jour
- 16 oct.
dart-langdart-write-documentation
Rules and formatting guidelines for writing Dart /// API documentation and doc comments. Use when documenting Dart code, writing doc comments for any Dart declaration (libraries, classes, methods, variables, etc.), or when instructed to follow the Effective Dart documentation guidelines.
- Installations / 1h
- 3
- GitHub Stars
- 530
- Mis à jour
- 16 oct.
fetcher-shyoutube-api
A YouTube API alternative on fetcher.sh — pay-per-call in USDC via x402, or prepaid credits with a Bearer key, no OAuth and no daily quota. Use when the user wants to search YouTube videos with filters for upload date, duration, or sort order, search channels or playlists, look up a channel by ID, @handle, or custom URL path, list a channel's videos, shorts, or live streams, fetch a video's or short's details and comments, list a playlist's videos, pull posts under a hashtag, or check trending v
- Installations / 1h
- 3
- GitHub Stars
- 2
- Mis à jour
- 5 sept.
teng-linnotebooklm
Install, authenticate, troubleshoot, and operate Gemini Notebook through the notebooklm-py CLI or typed async Python API. Use for notebook and source management, grounded chat and research, and artifact generation or download when the user mentions Gemini Notebook, notebooklm-py, the notebooklm CLI, or its Python API. Do not use for the generic Gemini API or unrelated content creation.
- Installations / 1h
- 3
- GitHub Stars
- 19,9 k
- Mis à jour
- 26 oct.
awsamazon-bedrock
Builds generative AI applications on Amazon Bedrock. Covers model invocation (Converse API, InvokeModel), RAG with Knowledge Bases, Bedrock Agents, Guardrails, and AgentCore (including the Harness managed agent loop). Applies when invoking models, setting up Knowledge Bases, deploying to AgentCore, migrating/porting/converting a Bedrock Agent (including inline agents) to an AgentCore Harness, troubleshooting Bedrock errors (ThrottlingException, AccessDeniedException), or choosing Bedrock models
- Installations / 1h
- 3
- GitHub Stars
- 3,3 k
- Mis à jour
- 23 oct.
awsaws-security
AWS security service suitability, coverage and cost recommendations: WAF/origin overlap, AWS Network Firewall inspection coverage and policy review, VPC endpoint, Transit Gateway/Cloud WAN segmentation and DNS Firewall security-control suitability, certificate renewal ownership and monitoring, incident response triage ownership, centralized security log store (CloudWatch or Security Lake). Also factual configuration, findings, data sources and severity scoring for GuardDuty, Inspector, Security
- Installations / 1h
- 3
- GitHub Stars
- 3,3 k
- Mis à jour
- 23 oct.
nanako0129sepia
Make AI-generated writing read as human-written, in fiction and in professional prose. Repairs the narrative architecture of fiction and stories (based on StoryScope, arXiv:2604.03136); routes professional text through domain rules for release notes, announcements, PR and issue replies, code-review comments, incident postmortems, tickets, work orders, technical articles, blog posts, and long-form journalism. Four operations - write, review (diagnose AI tells without editing), refactor (minimal i
- Installations / 1h
- 3
- GitHub Stars
- 3,5 k
- Mis à jour
- 15 oct.
marimo-teammarimo-pair
- Drive a live marimo notebook as a workspace: run Python in the same kernel the user does, inspect live notebook state, and commit durable notebook changes. Use when the user wants to start a marimo notebook or pair on an active marimo session.
- Installations / 1h
- 3
- GitHub Stars
- 429
- Mis à jour
- 16 sept.
challengepost1-start
Begin Build With AI: Basics, the Devpost learning hackathon. Checks you're in a fresh project folder, introduces flipped interaction, learns about your idea and background, and writes the learner profile that every later skill reads. Run this first.
- Installations / 1h
- 3
- GitHub Stars
- 74
- Mis à jour
- 5 oct.
challengepost2-scope
Find or sharpen the project idea and write the scope doc. The first and most important planning conversation — a focused flipped-interaction interview that pulls the idea out of the learner's head, then cuts it down to a coherent proof of concept. Run after 1-start.
- Installations / 1h
- 3
- GitHub Stars
- 74
- Mis à jour
- 5 oct.
challengepost3-prd
Turn the approved scope into a complete product definition — the core journey, every behavior, states and edge cases, and a firm proof-of-concept boundary. No code talk. Run after 2-scope.
- Installations / 1h
- 3
- GitHub Stars
- 74
- Mis à jour
- 5 oct.
challengepost4-spec
Turn the approved PRD into a technical blueprint the build can follow — stack, where it runs, components, data, file structure — calibrated to the learner and sized to a proof of concept. The last planning step before code. Run after 3-prd.
- Installations / 1h
- 3
- GitHub Stars
- 74
- Mis à jour
- 5 oct.
challengepost5-build
Turn the approved plan into ordered working build steps, then build the app step by step — verifying and committing each one — in learn mode or fast mode. Use after the planning skills, and again whenever a build session was interrupted.
- Installations / 1h
- 3
- GitHub Stars
- 74
- Mis à jour
- 5 oct.
challengepost6-ship
Finish the Build With AI Basics hackathon—verify the proof of concept, prepare the required short demo video and public GitHub repository, and write your own Devpost submission. Run after 5-build, its final review, and the learning wrap-up/app map are complete.
- Installations / 1h
- 3
- GitHub Stars
- 74
- Mis à jour
- 5 oct.
celigousing-marketplace-templates
Find, install, and reuse pre-built integration blueprints from the Celigo Marketplace -- Templates (unlocked, fully editable, no ongoing updates) and Integration Apps (vendor-maintained, upgrade-protected, receive updates). Covers whole-template install versus recreating a single element from the template preview, how connections are mapped rather than copied, and when to start from a blueprint instead of building from scratch. Use when browsing the marketplace, installing a template or Integrat
- Installations / 1h
- 3
- GitHub Stars
- 4
- Mis à jour
- 25 oct.
rohitg00agentmemory-agents
How agentmemory wires into host coding agents via the connect command. Use when installing agentmemory into a specific agent, when asked which agents are supported, or when a connect adapter writes the wrong config path.
- Installations / 1h
- 3
- GitHub Stars
- 29,9 k
- Mis à jour
- 25 oct.
rohitg00agentmemory-architecture
How agentmemory is built, the iii engine primitives it runs on, its storage model, ports, and the viewer. Use when reasoning about how memory is stored or retrieved end to end, when extending the system, or when answering how agentmemory works under the hood.
- Installations / 1h
- 3
- GitHub Stars
- 29,9 k
- Mis à jour
- 25 oct.
rohitg00agentmemory-hooks
The agentmemory plugin hooks that capture observations automatically across the agent session lifecycle. Use when explaining how memory gets captured without manual saves, when debugging missing observations, or when tuning what gets recorded.
- Installations / 1h
- 3
- GitHub Stars
- 29,9 k
- Mis à jour
- 25 oct.
rohitg00commit-context
Trace a file, function, or line back to the agent session that produced its current commit. Use when the user asks "why is this code here", "what was the agent doing when this changed", "who wrote this", or wants context on a specific location in the codebase.
- Installations / 1h
- 3
- GitHub Stars
- 29,9 k
- Mis à jour
- 25 oct.
rohitg00commit-history
List recent git commits linked to agent sessions, optionally filtered by branch or repo. Use when the user asks "show agent commits", "what has the agent shipped", "list linked commits", or wants commits with their session context.
- Installations / 1h
- 3
- GitHub Stars
- 29,9 k
- Mis à jour
- 25 oct.
rohitg00forget
Delete selected durable memories from agentmemory after showing them and getting explicit confirmation. Use when the user says "forget this", "delete memory", "remove that note", or wants to scrub specific data for privacy.
- Installations / 1h
- 3
- GitHub Stars
- 29,9 k
- Mis à jour
- 25 oct.
rohitg00handoff
Resume the most recent agent session for the current working directory, leading with any unanswered question. Use when the user says "where were we", "resume", "handoff", "pick up where I left off", or starts a session with no fresh context.
- Installations / 1h
- 3
- GitHub Stars
- 29,9 k
- Mis à jour
- 25 oct.
rohitg00lesson
Save a correction or hard-won rule as a confidence-weighted lesson that resurfaces before similar work. Use when the user corrects your approach, says "learn this", "always" or "never do X", or you notice yourself repeating a past mistake.
- Installations / 1h
- 3
- GitHub Stars
- 29,9 k
- Mis à jour
- 25 oct.
rohitg00recap
Summarize the last N agent sessions for the current project, grouped by date, with highlight observations per session. Use when the user asks "recap", "what have we been doing", "today", "this week", or wants a rollup of recent work.
- Installations / 1h
- 3
- GitHub Stars
- 29,9 k
- Mis à jour
- 25 oct.